Senior Engineer Jobs At Meta

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do. Description APPLE INC has the following available in Seattle, Washington. Build and enhance features to improve discoverability of the content in Apple products, services and applications, including iTunes Store, App Store, Apple Music, Movies, Podcasts, and iBooks. Improve query understanding, classification, and ranking of search results for Apple applications and services. Work on feature engineering and model building for search ranking and query understanding to improve search quality and drive user engagement. Improve recall and precision of search results for Apple applications and services using a deep understanding of machine learning algorithms and information retrieval systems including decision trees, random forest, Deep Neural Networks, and Solr. Use big data technology and parallel processing technologies such as Map Reduce to baseline and prioritize content discovery features for better search recall and ranking. Ensure successful deployment of features and ranking models in production and A/B testing to optimize performance. Collaborate with other world-class engineers, researchers, and statisticians to ensure features and models are functioning at or above expected performance levels. Utilize knowledge of scalable data structures, object-oriented software design, and Unix to write code for state-of-the-art search to improve system quality. Bring the latest in search and discovery ideas and innovate beyond them at large scale production to advance our search capabilities. Define metrics that measure the success of machine learning models to drive meaningful improvements. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,454 - $250,600/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Minimum Qualifications Bachelor's degree or foreign equivalent in Computer Engineering, Computer Science or related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation. 5 years of experience with each of the following skills is required: Leveraging data structures like List, Map, Hash tables, trie, and algorithms such as binary search, sorting, tf-idf, ndcg, and learning to rank showcases a rich toolkit for handling different aspects of data manipulation, model training, and evaluation. Incorporating information retrieval techniques like BM25, posting lists, semantic retrieval, embeddings, recall, demonstrates a thorough understanding of the intricacies involved in retrieving relevant documents from a large corpus. Employing a variety of machine learning models including SVMRank, XGBoost, Neural networks, and collaborative filtering ensures a diverse set of approaches to rank documents and provide a better user experience. Leveraging distributed systems for large-scale data processing, parallelized training, scalable storage, load balancing, and A/B testing demonstrates a scalable and resilient infrastructure. Applying neural network methods to generate embeddings for documents and queries signifies a commitment to semantic retrieval, acknowledging that understanding the context is as important as textual matching. Utilizing coding languages like Go, Python, Scala, and Spark for building pipelines, training models, and deploying them to serving stacks. Leveraging public cloud services like Cloudera, AWS for storage and data manipulation showcases a scalable and cost-effective solution for managing large datasets. 3 years of experience with each of the following skills is required: Utilizing Natural Language Processing for query understanding, entity recognition, genre classification, and query intent classification reflects a commitment to enhancing the search system's ability to comprehend user queries and improve relevance. Incorporating a big data pipeline for processing logs and creating signals reflects a data-driven approach to continuously improving ranking and retrieval accuracy. Preferred Qualifications N/A Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. #J-18808-Ljbffr

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This role can be based in Mountain View, CA or Bellevue, WA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. In this role, you will join the Media Infrastructure org which is responsible for handling all media creation and consumption on LinkedIn. Media, and in particular Video, has become a key driver of business growth at LinkedIn. Media Infrastructure org provides a platform for LinkedIn product teams to incorporate Media in their features. We are a small org with a large impactful scope. E.g., optimizations in video performance have moved the needle for LinkedIn's core business metrics. As a Media specialist, you will be responsible for optimizing media (video, images and/or documents) transcoding processes and tuning encoding parameters to enhance our media delivery capabilities. You will work with a dynamic team of engineers and collaborate on various projects to deliver high-performance media solutions. Responsibilities - Define and hold yourself responsible for media quality of experience metrics like video visual quality (VMAF, SSIM etc) - Integrate video codecs (such as H.264, H.265, VP9, AV1) and optimize them for performance under Linux environments. - Work with FFMPEG and other media tools to process and manipulate media streams and make modifications as needed. - Work with a cluster of worker nodes and consider the system level optimizations to improve the overall performance. - Troubleshoot and resolve issues related to media processing - Collaborate with cross-functional teams to deliver integrated media solutions. - Maintain and update technical documentation related to media processing development and integration. Basic Qualifications - BA/BS Degree in Computer Science or related technical discipline, or related practical experience. - 4+ years of industry experience in software design, development, and algorithm related solutions. - 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages. - Basic integration knowledge under Linux environments. - Experience working in the media processing domain. Preferred Qualifications - BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience - Proficiency in modifying FFMPEG to enhance capabilities. - Experience with additional video codecs and streaming protocols. - Experience with Java to implement or modify business logic and media features. - Proven experience in the development and/or integration of video codecs (H.26x, H.264, H.265, VP9, AV1, etc.) and proficiency in using FFMPEG for video processing. Suggested Skills - Distributed systems - Backend Systems Infrastructure - Java/Golang/Rust/Python You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 - $255,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Senior Staff Engineer, Core AI HALO - Human Intelligence, Annotation, Localization and Operations LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. Team Overview: In this role, you will be a core member of LinkedIn's CORE AI team and will partner closely with other verticals in Data and AI organization and other Product teams. You'll be driving and managing all data curation and annotation efforts across LinkedIn. You'll be at the forefront of transforming how we evaluate our most cutting-edge AI based products leveraging LLMs to enhance our processes. You will oversee the development and improvement of the tools and platforms that support these activities. Success in this role hinges on building strong partnerships. You'll work closely with teams across the company, ensuring their data requirements are met swiftly and effectively. Your vision, leadership, and strategic mindset will be critical as we push the boundaries of what's possible. Location: At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. This role will be based in Sunnyvale, CA. Responsibilities: Work with large-scale data to build systems which will leverage and support new techniques for evaluating AI based products Provide technical leadership to junior engineers and collaborator orgs, drive and perform best engineering practices to initiate, plan, and execute large-scale, cross-functional critical projects. Hold the team to a high ML craftsmanship bar and actively reduce ML tech debt, designing systems that scale with algorithms and with time, and improve engineering productivity. Partner with data science & analytics teams, product & infrastructure teams to build new innovative ideas to improve member experience. Bring together industry research and develop opportunities to contribute back to industry research Basic Qualifications: 5+ years of industry experience in software design, development, and algorithm related solutions 2+ years in a Lead, Staff, Principal, Architect, or similar technical Leadership position. BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience Experience with Machine Learning or Recommendation Systems Preferred Qualifications: 10+ years of experience, including extensive work with leading solutions related to evaluation of complex systems, AI/Machine Learning and/or experimentation Masters or PhD in Computer Science, Machine Learning, Statistics, Economics and related fields Background in one or more of the following areas: experimentation, large scale evaluations, machine learnings, deep learning, Large Language Models (LLM) Demonstrated ability to work with peers in engineering across teams to set technical directions Suggested Skills: Model Evaluation AI Product Development Technical Leadership ---- You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation Disclosure: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $233,000 - $315,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement: LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in Mountain View, CA, San Francisco, CA or Bellevue, WA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers hybrid work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when your team needs to be together. As part of LinkedIn's AI Platform group, the AI Training team is responsible for developing and maintaining highly available and scalable deep learning training solutions to power our rapidly growing AI use cases. The team is responsible for scaling LinkedIn's AI model training with hundreds of billions of parameters for all AI use cases from recommendation models, large language models (Generative AI), to computer vision models. We optimize training performance across algorithms, AI frameworks, infrastructure software, and hardware to harness the power of our GPU fleet with thousands of latest GPU cards. The team also works closely with the open source community and has many open source committers (TensorFlow, Horovod, Ray, Hadoop, etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning, and advanced LLM Agents work for Training infrastructure. As a Principal Staff Software Engineer on the AI Training Infra team, you will play a crucial role in leading and building the next-gen training infrastructure to power AI use cases. You will design and implement high performance AI Training pipeline, data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, data parallelism, Zero, automatic mixed precision and kernel fusion. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention and more. Responsibilities - Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. - Designing, implementing, and optimizing the performance of large-scale distributed training for personalized recommendation as well as large language models. - Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance. - Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team. - Working closely with the open-source community to participate and influence cutting edge open-source projects (e.g., PyTorch, GNNs, DeepSpeed, Huggingface, etc.). - Functioning as the tech-lead for several concurrent key initiatives for the Training Infrastructure and defining the future of AI training platforms. Basic Qualifications: - BS/BA in Computer Science or related technical field or equivalent technical experience - 7+ years of industry experience in software design, development, and algorithm related solutions - 7+ years of experience programming in object-oriented languages such as Python, C++, Java, Go, Rust, Scala - 5+ years of experience as an architect, or technical leadership position - 5+ years of experience in the industry with leading / building deep learning systems - Hands-on experience developing distributed systems or other large-scale systems Preferred Qualifications: - MS or PhD in Computer Science or related technical discipline. - 12+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position - 12+ years of experience in an object-oriented programming language such as Python, C++, Java, Go, Rust, Scala - 5+ years of experience with large-scale distributed systems and client-server architectures - Co-author or maintainer of any open-source projects - Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems - Familiarity with containers and container orchestration systems - Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills: - ML Algorithm Development - Machine Learning / Deep Learning - Big Data - Stakeholder Management LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the country of employment. LinkedIn Marketing Solutions (LMS) is the largest and fastest growing scaled B2B Advertising Platform in the world. The LMS engineering team is responsible for building and scaling the technology stack that powers our advertising business including advertiser experiences, ad serving platform and ad products. The Advertiser Experience org within LMS is the face of LinkedIn to advertisers. Through our suite of first party products, Campaign Manager and Business Manager, and API products, we enable enterprises, small businesses, partners and agencies to run successful advertising campaigns and grow their business. We are looking to hire a Principal Staff Software Engineer to partner with the Director of Engineering on scaling our infrastructure and re-imagining the workflows for our advertisers through AI. The role requires customer empathy, thought leadership, technical vision and the ability to inspire a team of engineers in solving challenging problems. Responsibilities: You will build and ship software, drive architectural decisions and implementation across LMS teams. You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. You will lead cross team/cross-functional discussions and drive alignment on product/technology strategy. You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. You will act as one of the primary domain experts to influence technology choices. You will lead by example to build a culture of craftsmanship and innovation. Basic Qualifications: BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience 8+ years of programming experience in Java, C++, C# or similar programming languages 8+ years of experience building large-scale distributed systems, applications or similar experience Preferred Qualifications: MS or PhD in Computer Science or related technical discipline. 12+ years of relevant work experience. Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth. Experience designing and building infrastructure and backend services at internet scale. Experience building and shipping high quality work while achieving high reliability. Experience utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions. Experience leading high-impact cross-org initiatives Experience in working with AI in consumer facing products Suggested Skills: * Building large scale backend services * Technical Leadership * Ads domain expertise You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $195,000 to $320,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in Mountain View, CA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Do you want to build, scale, and evolve the next generation remote managed disk solution for LinkedIn? It is a core building block of the entire LinkedIn stack and will replace local disks for the vast majority of use cases. As a foundational storage solution, it will seamlessly scale to 100 PBs and serve 10s of millions of QPS at ultra low latencies. We aspire for lights out operations, needing no human touch as the site scales to 10s of thousands of servers and beyond. We are a small team working on realizing a big vision. If you are looking for an opportunity to make a big impact, come join us in the Infrastructure Software Engineering group. Responsibilities: -You will act as a domain expert for Storage Infrastructure at LinkedIn and own architectural decisions -You will partner with customers and leaders to create roadmaps, drive alignments and deliver products -You will lead and mentor teams, while actively building and operating large scale systems -You will define, enforce and continuously raise the bar for craftsmanship at LinkedIn, bringing in best practices from the industry -You will build a culture of innovation, with bias for execution Basic Qualifications: -BA/BS Degree or higher in Computer Science or related technical discipline, or equivalent practical experience -5+ years of industry experience in software design, development, and algorithm related solutions. -5+ years of experience programming in C/C++, Rust, Go, or similar languages -Hands on experience developing large-scale distributed systems, database, remote disk, and storage -2+ years of experience as an architect or technical leadership position Preferred Qualifications: -MS or PhD in Computer Science or related technical discipline -10+ years experience in software design, development, and algorithm related solutions -5+ years of experience in a technical leadership position -10+ years experience in an object-oriented programming language such as C/C++, Rust, Go -Knowledge of multi-threading, concurrency, and parallel processing technologies. -Experience with industry, open-source projects and/or academic research in large-data, parallel and distributed systems -Experience leading high-impact, cross-organization initiative Suggested Skills: -Distributed Systems -Technical Leadership -Storage systems -Remote Storage LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid or remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the country of employment. Productivity Engineering is a team at LinkedIn that builds products that power LinkedIn's business. We drive technology vision, architecture, and design systems that help the company deliver on major business processes (go-to-market, sales, finance, and customer support, etc.). We deliver applications and products that let our customers do business with us in a seamless way, help grow our top line and increase our efficiency. LinkedIn is looking for a visionary Sr. Staff Software Engineer to join their Enterprise Platforms, Integration, and Collaboration (EPIC) organization leadership team, where you'll help transform experiences for everyone doing business in or with LinkedIn. In this pivotal role, you'll collaborate with senior engineering and product leads across the organization to set the bold technical direction and inspire your team to tackle complex challenges. You'll lead the rapid evolution of our internal experiences as we automate and build agentic experiences which empower our users to solve their needs across HR, Finance, Workplace, Events, Vendor Management, and more. Responsibilities: • You will set direction to platforms that power multiple teams and products • You will deliver impact by driving innovation while building and shipping software at scale • You will provide architectural guidance and mentorship to up-level the engineering organization • You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7 • You will execute on product and technical workstreams by collaborating with engineering, product managers, designers, other software development teams, and business partners • You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies • You will design products/services/tools and code that can be used by others while upholding operational impact of all decisions • You will identify problems and opportunities and lead teams to architect, design, implement and operationalize systems • You will work closely with and influence product and/or technology partners regularly to help define a long-term technology roadmap • You will resolve conflicts between teams within the organization to get alignment and build team culture • You will create a collaborative work environment that fosters autonomy, transparency, innovation, and learning • You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship • You will work with peers across teams to support and leverage a shared technical stack • You will review others' work and share knowledge Basic Qualifications: • BS/BA in Computer Science or related technical field or equivalent technical experience • 5+ years of industry experience in software design, development, and algorithm related solutions • 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala • 2+ years of experience as an architect, or technical leadership position Preferred Qualifications: • MS or PhD in Computer Science or related technical discipline • 10+ years' experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position • 5+ years' experience with large-scale distributed systems and client-server architectures • 10+ years programming experience in an object-oriented programming language such as Java, C/C++ • Experience with large-scale distributed systems and client-server architectures • Experience leading by influence, formulating and driving technical strategies across various organizations • Experience leading a large organization • Experience with Enterprise platforms and tooling. • Experience in the design and development of performant, highly available, scalable web applications • Relevant experience working with engineers across multiple skill sets (e.g. Application/Backend, UI/Frontend, iOS/Android/Mobile) • Understanding of common performance patterns and anti-patterns in distributed systems • Active involvement in the creation and execution of technical strategies and roadmaps Suggested Skills: • Technical Leadership • Architectural Mastery • Code Review • Cross-organizational Collaboration • Enterprise Applications You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $175,000 - $288,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid or remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the country of employment. Securing data is core to building trust with our members and for LinkedIn's success. Our vision as the Security Infrastructure team is to ensure that every access to data at LinkedIn is safe. Our mission is to make security intuitive, performant, and secure. We build highly reliable and scalable services and developer-friendly infrastructure that enable engineering teams across the company to create and integrate secure features and proactively protect our members' data. We are responsible for securing all of LinkedIn's microservices, big data, and large scale data systems such as Kafka. As a Sr. Staff Software Engineer, you will be a key technical leader and role model in our ongoing efforts to execute the vision for our security infrastructure features, and capabilities. We are looking for a technical lead who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. You will foster LinkedIn's culture and values around transformation, collaboration and results. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class core systems infrastructure for LinkedIn. As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. If you are passionate about developing and delivering the underlying technology that powers one of the world's most-used internet applications and have the skills and experience to help us take our security infrastructure and services to the next level, we want to hear from you. Apply now to join our team and help shape the future of LinkedIn. Responsibilities: • Deliver impact by driving innovation while building and shipping software at scale • Provide architectural guidance and mentorship to up-level the engineering organization • Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies • Design products/services/tools and code that can be used by others while upholding operational impact of all decisions • Functioning as the tech-lead for multiple key initiatives, identify problems and opportunities and lead teams to architect, design, implement and operationalize systems • Partner closely with teams within the org and customers to execute on the vision for long-term success of our core infrastructure teams • Working closely with the open-source community to participate and influence cutting edge open-source projects. • Keep a platform first approach while designing products/service Basic Qualifications: • BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience • 2+ years of experience in an architect or technical leadership position • 5+ years of industry experience in software design, development, and algorithm related solutions. • 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala • 5+ years of security experience Preferred Qualifications: • 10+ years' experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position • 5+ years' experience with large-scale distributed systems and client-server architectures • 10+ years programming experience in an object-oriented programming language such as Java, C/C++, Go, Rust, Python, Scala • Experience in architecting and designing large-scale distributed systems related to data infrastructure, storage, graph, Kubernetes, and platforms. • Experience in isolating k8s workloads to improve security and performance. Suggested Skills: • Technical Leadership • Distributed Systems • Systems Infrastructure • Kubernetes • Security You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $175,000 - $288,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options. This means you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or you can work remotely from most locations within the country listed for this role. This role will be based in New York, NY and will sit alongside our Video Engineering team. As a senior AI leader in NY, you will help lead the buildout of our AI talent presence in the New York office. The Video AI team sits at the heart of our LinkedIn's ambitious growth strategy. Our team is a dynamic group of machine learning experts dedicated to revolutionizing the way we interact with video content. This team is at the forefront of developing cutting-edge artificial intelligence technologies that enhance video understanding, search, and personalization. By leveraging state-of-the-art AI techniques, the Video AI team is poised to open up new ways of engaging with videos on LinkedIn. Our work encompasses a range of applications, from real-time video analytics to intelligent content recommendation systems, positioning our company as a leader in the rapidly evolving landscape of video technology. As LinkedIn continues to revolutionize our market presence, the Video AI team's expertise will be instrumental in shaping our product offerings and achieving our strategic goals, ensuring we stay ahead of the competition and deliver unparalleled value to our 1 billion+ global users. Below are a few examples of the problem spaces we work in (and much more!): Video Understanding: Building state of the art content understanding models and content embeddings to power all video use cases. Video Feed Personalization: Identifying the most engaging content and distributing to users. Video Search: Tackling the multimodal search problem, delivering videos that provide the highest user value. Video Safety: Safeguarding users from malicious actors and content, building an open and safe community for all. As a Principal Staff Engineer on the Video team, you will act as the primary domain expert and Tech Lead for Video (primarily focused on the AI stack, but you will be providing tech leadership across the entire Video serving stack). You will research, develop, build and ship cutting edge AI technologies. You are expected to provide technical leadership, and drive architectural decisions and implementation across the engineering organization. Responsibilities Lead key technical and design discussions with a team of Product, Platform/Infra, and AI/ML Engineers across the entire Video stack. Provide technical leadership to cross-functional teams and drive alignment on technology strategy Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices Partner effectively with leads (ICs and managers) from other AI teams Attract world class talent and provide technical guidance, career development, and mentoring to team members. Lead by example to build a culture of craftsmanship and innovation Establish a culture that values diverse viewpoints while navigating complex decisions Be an industry thought leader for AI & Video. Represent LinkedIn in relevant industry forums. Basic Qualifications BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience 7+ years of industry experience in software design, development, and algorithm related solutions. 7+ years experience programming languages such as Python, etc. 5+ years in an architect or technical leadership position Background in the following areas: Machine Learning, Artificial Intelligence, Consumer Video Preferred Qualifications Experience in bringing large scale AI systems to production, with an emphasis on Video recommendation systems for Consumer applications. PhD in Computer Science, Machine Learning, Statistics or related fields 9+ years of experience in AI/Data Science and Machine Learning Demonstrated ability to work with peers in engineering across teams to set technical directions Excellent communication and presentation skills Suggested Skills: Video Application architecture Machine Learning LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $218,000 to $357,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Job Description As a staff member of the Compute Infrastructure team at LinkedIn, you will be charged with building the next-generation infrastructure and platforms for LinkedIn. This is a unique opportunity to work on a high-profile, high-impact ongoing project that will touch every aspect of our engineering organization. Specifically, the LinkedIn Kubernetes Infrastructure team provides an on-premises Kubernetes platform for the entire company. The team provides capability to efficiently create Kubernetes clusters on-demand, build multi-clusters solutions, automate upgrades, and intelligently detect and remediate cluster health, etc. In this role, you will be responsible for designing and implementing solutions that will enable LinkedIn to scale its Compute Infrastructure to meet the demands of a rapidly growing user base. This will involve working closely with a team of experienced engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment. Responsibilities: - You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. - You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind. - You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance - You will communicate with the team, partners and stakeholders. - You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team - You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale - You will diagnose technical problems, debug in production environments, and automate routine tasks Basic Qualifications - BA/BS Degree in Computer Science or related technical discipline, or related practical experience. - 4+ years of industry experience in software design, development, and algorithm related solutions. - 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages - Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs Preferred Qualifications - BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience - Experience in architecting, building, and running large-scale distributed systems - Experience with Kubernetes (or similar) Ecosystem - Experience with Kubernetes controller development, automating cluster management - Golang coding experience - Experience with industry, open source, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice - Experience with open-source project management and governance Suggested Skills: -Distributed Systems -Golang -Technical Leadership You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 to $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Responsibilities: · You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. · You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. · You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. · You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Basic Qualifications: · BA/BS Degree in Computer Science or related technical discipline, or related practical experience. · 4+ years experience in software design, development, and algorithm related solutions. · 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby. Preferred Qualifications: · BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience. · Experience in designing and building infrastructure and web services at large scale. · Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. · Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. · Experience building web applications and services with IDEs, ant, junit, etc. · Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. Suggested Skills: · Technical Leadership · Architectural Mastery · Code Review and Quality Assurance · Advanced Security Practices · Mentoring and Knowledge Sharing You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Responsibilities: · You will develop tools to improve our ability to rapidly deploy and effectively monitor custom applications in a large-scale Linux environment. · You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. · You will produce high quality software that is unit tested, code reviewed and checked in regularly for continuous integration. · You will serve as a primary point responsible for the overall health, performance, and capacity of one or more of our Internet-facing services. · You will assist in the roll-out and ramp up of new product features and technologies to facilitate our rapid iteration and constant growth. · You will gain deep knowledge of our complex applications and operate effectively in a fast-paced, rapidly changing environment. · You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Basic Qualifications: · BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience. · 4+ years of industry experience in software design, development, and algorithm related solutions. · 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby. Preferred Qualifications: · BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience. · Experience in designing and building infrastructure and web services at large scale. · Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. · Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. · Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. · Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. · Experience with Linux operating systems and troubleshooting production systems at scale. Suggested Skills: · Technical Leadership · Advanced Programming Skills · Code Review and Quality Assurance · Advanced Software Design & Architecture · Mentoring and Knowledge Sharing You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 to $240,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day, our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members globally, and a mix of B2B and B2C programs, we offer countless ways for ambitious individuals to have an impact and transform their careers. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. The technical foundation team is an engineering team embedded into data science groups in charge of developing robust data foundations and data tooling to empower the rest of the data science team and cross functional teams. This individual will work closely with data science partners and other cross-functional stakeholders, including AI, Product Managers, and Engineering, to tackle a variety of projects. These projects may range from building data foundations and generalized tools to streamlining complex analyses or developing new methodologies. This role is unique in that it allows you to work end-to-end on new initiatives and build data solutions from the ground up. Responsibilities • Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from large datasets or automate complex algorithms to enable data-driven decision making. • Work with cross-functional partners to identify business opportunities and build scalable data solutions and applications. • Establish efficient design and programming patterns for engineers as well as for non-technical partners. Ensure best practices and standards in our data ecosystem are shared across teams. • Contribute to engineering innovations that fuel LinkedIn's vision and mission. Basic Qualifications • Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc. • 5+ years of relevant industry experience. • Experience with SQL/Relational databases. • Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript, prefer Python, Java and Scala). Preferred Qualifications • BS and 7+ years of relevant work experience, MS and 5+ years of relevant work experience, or Ph.D. and 3+ years of relevant work/academia experience working with large amounts of data. • Experience working with data pipeline authoring system, such as Airflow, Flyte, DBT • Good knowledge of using Spark and related development tools • Familiarity with distributed systems, source control, testing frameworks, and all aspects of developing in large, distributed software teams. • Build applications and platforms that enable producers and consumers of data insights to work smarter and more efficiently. • Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences. • Experience with data products and basic statistics. • Experience creating data visualizations. • Proven experience in designing and implementing complex data foundation, emphasizing high-volume, high-reliability, and high-quality datasets. Suggested Skills • Experience building data science or machine learning platforms. • Experience writing RESTful / GRPC APIs with modern frameworks. • Web App Development • Technical Leadership • Hands-on experience in building data pipelines to transform unstructured data into structured formats, with emerging knowledge of leveraging Large Language Models (LLMs) to enhance data processing and transformation workflows. You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 to $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional information, visit: ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This role can be based in Mountain View, CA or Bellevue, WA. Join the Media SDK team at LinkedIn, where we handle all media-related functions across our platform. Our team develops SDK libraries that are integral to LinkedIn's apps, ensuring seamless media integration and high-quality user experiences. You'll work with cutting-edge technologies, collaborate with skilled engineers, and contribute to features that connect millions of professionals worldwide. If you're passionate about media technology and eager to make an impact, we'd love to have you on our team. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Responsibilities: · You will design and build multiple media libraries covering image, video etc, which are adopted across Linkedin ecosystem family apps. · You will follow industry developments and evaluate technologies from Apple, the open source world, and other LinkedIn teams to determine whether we should incorporate them to improve iOS developer productivity. · You will work with LinkedIn's iOS developer community to understand their needs and propose solutions to accelerate product iteration speed. · You will demonstrate craftsmanship and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration. · You will provide technical leadership and use engineering best practices to initiate, plan, and execute large-scale, cross-functional, and company-wide projects. · You will run projects spanning dozens of teams to increase adoption of the latest technologies. · You will design ways to structure our application and build system to minimize build time in our multi-million line codebase. · You will constantly look for opportunities to improve trunk health, improve test infrastructure, and optimize build speed. Basic Qualifications: · BA/BS Degree in Computer Science or related technical discipline, or related practical experience. · 4+ years of industry experience in software design, development, and algorithm related solutions. · 4+ years programming experience in programming languages such as Objective-C, Swift, Java, C/C++, Python, etc. Preferred Qualifications: · Deep knowledge of video playback frameworks such as AVFoundation, Core Media, and VideoToolbox. · Experience with image rendering and processing using Core Graphics, Core Animation, and Core Image. · Comprehensive knowledge of various media formats (e.g., MP4, MOV, HEVC), codecs, and streaming protocols such as HLS (HTTP Live Streaming) · Familiarity with hardware-accelerated video decoding and encoding. · BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience · Experience in designing and building infrastructure solutions on a large scale. · Expansive technical knowledge and experience with mobile application development (iOS and/or Android). · Experience working with iOS development toolchains such as Xcode and test frameworks such as KIF and EarlGrey · Experience working with Linux and/or Mac OS system environments. Suggested Skills: · Technical Leadership · Architectural Mastery · Code Review and Quality Assurance · Advanced Security Practices · Mentoring and Knowledge Sharing You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Our team, Product Application UX Infrastructure, is passionate about every pixel. At the heart of our work, as we create the framework for the next generation of consumer and enterprise applications at LinkedIn, is our commitment to delivering a user experience that is accessible, consistent, high-performing, and delightful. As a Senior Software Engineer on iOS, you will design and develop core user experience components and frameworks, establish the underlying infrastructure, collaborate with product engineering teams, and provide architectural guidance. Your role will enable these teams to efficiently experiment and build their applications. Responsibilities: • You will design and execute user-facing features for the native LinkedIn app on iOS devices by leveraging mobile operating system frameworks for multi-threading, persisting data, and managing user experience and graphics across multiple screen sizes. • You will use the latest cutting edge technologies and libraries suggested by Apple for building responsive native apps for iOS. • You will build scalable native mobile apps using LinkedIn's internal libraries. • You will produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration. • You will provide technical leadership, driving best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wide critical programs. Basic Qualifications • BA/BS in Computer Science or related technical field or equivalent practical experience. • 2+ years of industry experience in software design, development, and algorithm related solutions. • 2+ years programming experience in languages such as Objective-C, Swift, Python, Java, Javascript, C/C++, C#, Ruby. Preferred Qualifications: • BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience. Additional Preferred Qualifications: • Extensive programming experience in Objective-C, UIKit, Swift, Java, Kotlin and/or C++. • Experience building accessible iOS applications and familiarity with accessibility standards and guidelines, such as WCAG, Section 508, and Apple's Human Interface Guidelines. • Deep foundation in computer science with a strong understanding in data structures, and algorithms. Strong object-oriented skills including design, coding, and testing patterns. • Extensive experience in designing and building scalable application infrastructure, collaborating with stakeholders and diverse teams, and delivering projects on time and with exceptional quality. • Familiarity with API design and client/server communication principles and technologies like gRPC and GraphQL. Suggest Skills • Swift • Objective - C • Mobile Development You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $121,000 to $198,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

: LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description: At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Responsibilities: · You will own the front-end development for one or more of our products and collaborate with visual/interaction designers, other engineers, and product managers to launch new products, iterate on existing features, and build a world-class user experience. · You will implement cutting-edge technologies and will be writing state-of-the-art code to keep LinkedIn at the cutting edge of current technology. · Your specific expertise will be required to make the site delightful, secure, performant and accessible to all our members. · You will meet with colleagues including product managers, designers and other engineers assigned to your project(s). Basic Qualifications: • BA/BS in Computer Science or related technical field or equivalent practical experience • 2+ years of industry experience in software design, development, and algorithm related solutions. • 2+ years programming experience in languages such as Javascript, HTML, CSS, Python, Java, C/C++, C#, Objective-C, Ruby, etc. Preferred Qualifications: · BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience. · Experience writing clean JavaScript including experience with modern frameworks (Angular/Ember/React) and debugging tools (Chrome Dev Tools, etc. ) · Expert-level knowledge of Ember. · Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability. · Prior experience building public API's with Java. · Experience building large-scale consumer facing products. Suggested Skills: · Javascript · HTML/CSS · Web Development · Advanced Programming Skills You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $117,000 - $192,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunities for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn is looking for a Distinguished Engineer to join LinkedIn's Core Infrastructure organization. As a Distinguished Engineer specializing in performance, efficiency, and collaboration with finance on infrastructure spend, you will play a crucial role in optimizing our technical operations and resource allocation. You will lead efforts to enhance system performance, improve operational efficiency, and work closely with finance to ensure cost-effective infrastructure investments. Responsibilities: • Performance Optimization: Drive initiatives to optimize system performance across our technology stack, focusing on scalability, reliability, and speed. • Efficiency Improvements: Identify opportunities to improve operational efficiency, reduce costs, and streamline processes related to infrastructure and technical operations. • Collaboration with Finance: Partner closely with finance teams to develop strategies for effective budgeting and spending on infrastructure, ensuring alignment with business goals and financial targets. • Technical Leadership: Provide technical leadership and guidance to engineering teams, promoting best practices in performance tuning, resource management, and cost-effective infrastructure design. • Data-Driven Insights: Utilize data analytics and performance metrics to make informed decisions and drive continuous improvements in infrastructure performance and efficiency. • Cross-Functional Collaboration: Work collaboratively with cross-functional teams including engineering, product management, and operations to integrate performance and efficiency considerations into all phases of product development and deployment. • Innovation and Research: Stay current with industry trends, emerging technologies, and best practices related to performance optimization, efficiency, and infrastructure management. Basic Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related technical field • 10+ years of relevant work experience. • Experience in performance engineering, infrastructure optimization, and cloud technologies (AWS, Azure, GCP). Experience in designing and implementing scalable infrastructure solutions. • Experience in collaborating with finance teams on budget planning, cost analysis, and infrastructure spend management. • Experience in leading technical initiatives and driving results in a collaborative environment. Preferred Qualifications: • Strong understanding of financial principles and experience collaborating with finance teams on budget planning, cost analysis, and infrastructure spend management. "Suggested Skills" • Experience in engineering. • Developing technology strategies at a company-wide scale. • Technical leadership in Core Infrastructure. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $229,000 to $375,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunities for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn is looking for a Distinguished Engineer to join LinkedIn's Core Infrastructure organization. Data and AI is at the heart of LinkedIn. This role puts you at the intersection of both - leading the building and scaling of our most critical data storage as well as access layers to power LinkedIn products and AI training. As a Distinguished Engineer specializing in database systems, you will lead the architecture and development of cutting-edge, highly reliable, and scalable database solutions. You will be responsible for building next-generation structured storage systems, including the development of relational and graph databases, online analytics, systems, caching solutions, and new systems that support emerging innovations. This role requires deep expertise in transactional databases, graph systems, and caching systems and strategies. The successful candidate will be able to drive business outcomes by working closely with internal product, business, and solution platform stakeholders. Key Responsibilities: Design & Architecture: Lead the design and development of structured storage systems with a focus on transactional integrity, reliability, and massive scale. Architect and build highly reliable, low-latency graph databases that support large-scale queries and complex data models. Develop systems that scale from traditional relational databases to emerging unstructured and semi-structured data solutions. Design new caching strategies that support evolving product/platform access patterns and performance requirements. Build solution templates that accelerate developer velocity by simplifying access and usage of structured data. Innovation & Cutting-Edge Technology: Stay on the forefront of database technology trends, and evaluate new tools, technologies, and methodologies that can be integrated into the company's data infrastructure. Work with cross-functional teams to integrate advanced data processing and query capabilities into the company's core systems. Drive innovation in areas like distributed databases, NoSQL systems, and AI/ML-based data storage solutions. Lead efforts in open source community engagement for new technologies Evangelize LinkedIn Job innovation to the broader developer and research community Customer-Centric approach:: Partner with internal and external stakeholders to understand customer needs, use cases, and business requirements. Ensure that database systems deliver exceptional performance and meet the demands of complex transactional workloads, queries, and analytics. Collaborate with product and engineering teams to deliver highly customizable and reliable database platforms for diverse customer profiles. Performance & Reliability: Lead efforts to build and maintain high-performance databases that can handle millions of transactions reliably and efficiently. Architect solutions that provide fault tolerance, consistency, and high availability across multiple data centers. Design strategies to optimize query performance and streamline data access patterns across different database models. Data Evolution & Growth: Drive the evolution of data storage systems ranging from mature relational models to emerging technologies that support transactional unstructured and semi-structured data. Lead the transition from monolithic database systems to distributed architectures that are cloud-native and support dynamic data growth. Develop best practices for managing and maintaining databases across their lifecycle, from inception to full-scale operations. Leadership & Mentorship: Provide technical leadership and mentorship to teams of engineers, guiding them in the design and implementation of database systems. Foster a culture of innovation and continuous learning within the database engineering team. Basic Qualifications: Bachelor's degree in computer science, Engineering, or a related technical field. 12+ years of experience in database design, development, and management, with a focus on transactional and distributed systems. Experience with NoSQL databases, graph databases, and modern data architectures. Experience with cloud-native database technologies, distributed systems, and scalable data platforms. Experience running high-scale systems in production. Track record of driving continuous improvement in production excellence. Demonstrated ability to design systems that provide manageability, resiliency, and operability. Proven track record of leading engineering teams in building and operating complex, mission-critical systems. Preferred Qualifications: Deep knowledge of relational databases (e.g., PostgreSQL, MySQL) and their evolution into distributed and transactional models. Ability to understand customer needs and design systems that meet current business and technical requirements, while ensuring flexibility and adaptability for long-term needs. Excellent analytical and problem-solving skills with a focus on data-driven decision making. "Suggested Skills" • Relational databases. • Developing technology strategies at a company-wide scale. • Technical leadership. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $238,000 to $390,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits and/or other applicable incentive compensation plan. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 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Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Oculus Studios and Sanzaru Games has an immediate Rendering Engineer position working on virtual reality games. Sanzaru prides itself on crafting interactive content that delivers high quality, immersive experiences that take players to unimaginable worlds. We firmly believe to accomplish this requires equal amounts of design, art, and engineering. Everyone at Sanzaru is a contributor. This allows us to create and develop outside the box, providing unique and rich content for players across the world. Sanzaru has shipped countless titles on almost every platform within almost every genre. And we are not slowing down anytime soon. Sanzaru continues to push the boundaries of interactive entertainment and technology on all fronts. **Required Skills:** Senior Rendering Engineer - Sanzaru Responsibilities: 1. Communicate with artists directly to understand artistic direction and help enable technology to help meet vision. 2. Breaking down complex technical subjects to non-technical audiences or engineers outside of rendering. 3. Collaborate with Artists using Material Graphs to provide guidance, and develop technology solutions to achieve artistic direction. 4. Profiling GPU/CPU performance 5. Identifying performance constraints and collaborating with non-technical Cross Functional Partners to improve. 6. Close collaboration multidisciplinaryartist team to achieve AAA fidelity on VR platforms. 7. Develop Vulkan shaders in support of performant artistic targets in Unreal Engine 8. Working in and out of game project code to achieve sought rendering targets. **Minimum Qualifications:** Minimum Qualifications: 9. At least 7 years of game industry experience 10. Demonstrated experience shipping a Console, PC or VR game 11. Experience developing with C++ and Vulkan 12. Demonstrated experience with game engine performance profiling 13. Proven experience in developing with Unreal Engine. 14. Demonstrated collaborative history with team members across multiple disciplines. 15. BS Computer Science or equivalent experience **Preferred Qualifications:** Preferred Qualifications: 16. Shipping at least one VR title with an emphasis on tackling rendering or performance challenges 17. Demonstrated experience working directly with individual artists to collaborate on achieving rendering goals. 18. Demonstrated Experience evaluating Unreal Material Graph for performance improvements or bug triage. 19. Demonstrated experience using renderdoc to assess performance or bugs. **Public Compensation:** $177,000/year to $251,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.