Software Engineer jobs at Twilio - 292 jobs

Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals. See yourself at Twilio Join the team as Twilio's next Software Engineer (L3) About the job We are looking for a talented Software Engineer to join our Messaging team. We are searching for engineers that take pride in delivering quality products and are enthusiastic about technology and strive for the opportunity to learn and share their knowledge. You'll help us build and scale systems that support the core Messaging and Media functionalities in a rapidly evolving market and to provide a trusted experience to our customers. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of messaging use-cases. You will work closely with cross-functional teams to understand business requirements, design and implement reliable, scalable solutions for our Messaging Platform. About You: Will bring your unique set of diverse experiences and background to our team in an open and collaborative manner so that we can all expand and grow faster. Have a desire to leverage your expertise but also dive into lesser known areas of technology, architecture, or whatever is needed to solve engineering day-to-day challenges. Have an open and honest communication style that always puts the customer first “Will the customer be delighted with this?”. Are comfortable dealing with ambiguity and a shifting landscape. Are curious, willing to learn, share and improve. You have a strong sense of ownership and accountability for the product you are delivering. Responsibilities In this role, you'll: Design and build large-scale distributed messaging and media systems with a focus on reliability, availability, scalability and performance. Work closely with stakeholders and product teams to gather business requirements and translate them into effective technical solutions. Own your code end-to-end from development to deployment and provide operational support through on-call rotations. Take ownership of troubleshooting and resolving operational issues, with opportunities to enhance existing troubleshooting processes and tools. Participate in the refinement of the team's ticket backlog, estimating work and follow Agile ceremonies. Mentor early in career engineers and contribute to a culture of continuous learning and improvement. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor's Degree in CS or related field or equivalent working experience. 5+ years of related software development experience shipping multiple products / services. Proficiency in one or more programming languages including Java, Scala, C, C++ and advanced concepts like asynchronous programming, multi-threading etc. Experience in AWS cloud solutions, Kubernetes/EKS, CI/CD pipelines like Buildkite & containerization frameworks like Docker. Experience with asynchronous communication patterns like Kafka, SQS, RabbitMQ etc Experience with relational and non-relational databases, SQL queries, query optimizations and ETL tools. Experience designing and implementing large scale solutions. Experience working in distributed and concurrent systems. Experience with Testing & Automation. Proficiency in debugging production infrastructure and services. Curiosity and interest in learning new programming languages and frameworks. Ability to work independently and as part of a team. Working in agile teams or startup environments with strong customer focus. Commitment for engineering practices that ensure safe and fast paced releases of services. Demonstrated organizational agility, cross-team collaboration, commitment for results, and excellent written and verbal communications. Desired: On-call experience debugging large scale distributed systems. Experience with Devops infrastructure, specifically IaC tools like Terraform and ArgoCD. A strong plus if you have prior experience with MMS/SMS/RCS messaging protocols. Location This role will be remote and based in the U.S. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation " *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above." The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700.00 - $173,400. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800.00 - $183,600.00. Based in the San Francisco Bay area, California: $163,100.00 - $203,900.00. This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until February 20th, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

A leading customer support software company is seeking a Staff Software Engineer for the Search ETL team. This role primarily involves developing scalable data delivery systems, collaborating with cross-functional teams, and driving modernization efforts in a hybrid work environment. Ideal candidates should have strong Ruby experience, familiarity with queuing systems, and a collaborative mindset. Along with a competitive salary range of $164,000 to $246,000, this position offers opportunities for mentorship and growth within a dynamic team. #J-18808-Ljbffr

A prominent customer service software company is seeking a Staff Software Engineer to join their Search ETL team. You will develop and maintain scalable data delivery systems, drive architectural modernization, and collaborate with cross-functional teams to deliver high-impact projects. The ideal candidate has strong experience with Ruby and data pipelines, as well as excellent communication skills. This role is hybrid, requiring some in-office attendance at the San Francisco location. #J-18808-Ljbffr

A leading SaaS organization in San Francisco is seeking a Staff Software Engineer to innovate and maintain large-scale data systems. You will play a crucial role in reshaping Zendesk's search platform, driving modernization efforts with a collaborative approach. The ideal candidate has strong Ruby experience, knowledge of data solutions, and great communication skills. This position offers a hybrid work environment, giving flexibility while ensuring crucial team collaboration. #J-18808-Ljbffr

A leading financial software company is seeking a Software Engineering Group Manager to lead a talented team in developing next-generation AI-native products. The role requires strong technical expertise and experience in managing high-performing teams. Candidates should have over 10 years of relevant experience and a will to mentor and foster innovation. The position offers a competitive compensation package, including cash bonuses and benefits with an expected pay range of $238,500 to $322,500 in the Bay Area, California. #J-18808-Ljbffr

Join our MarTech organization as a Senior Engineering Manager and drive the future of marketing technology. We are looking for a leader to spearhead one of the most influential teams in our ecosystem, responsible for crafting seamless, scalable, and personalized marketing technology solutions. This role is pivotal in shaping our platform innovation strategy, enabling rapid adoption of new offerings, and ensuring flawless integration across MarTech tools that service diverse customer needs. Your impact will directly enable variability in experiences, accelerate time-to-market, and create AI-powered solutions that redefine customer engagement. Are you ready to lead the charge in transforming the marketing technology landscape? As the Senior Engineering Manager, you will build a robust Engagement Layer that integrates dynamic campaign orchestration capabilities, externalizes decision-making logic for smarter personalization, and delivers unparalleled AI-driven marketing solutions. You'll streamline 1P/2P/3P integrations, eliminate data silos, and standardize the delivery of real‑time, hyper‑personalized customer experiences. You will empower go‑to‑market agility, redefine customer journeys, and pioneer a future‑ready MarTech ecosystem. If innovation, and creating scalable solutions fuel your passion, this is the career‑defining opportunity you've been waiting for! Responsibilities Develop and refine our marketing technology platform's core integration patterns. Define and evolve reusable and extensible architectures that accelerate adoption across internal tools, third‑party platforms, and partner ecosystems. Drive seamless integrations with first‑party, second‑party, and third‑party services. Develop modern, intuitive customer experiences that feel native to each platform and effortlessly adapt to changing personas and journey stages. Define the engineering roadmap to enable rapid scaling of our marketing technology solutions. Ensure innovations are production‑ready and drive measurable business impact. Build, mentor, and scale a high‑performing engineering team. Foster a culture of technical excellence, collaboration, and ownership. Prioritize professional development and empower engineers to excel in a fast‑paced environment. Ensure robust operational frameworks to deliver highly available, scalable, and secure marketing technology solutions. Collaborate with product management, designers, and marketing leaders to translate ambitious visions into actionable plans. Influence cross‑functional partners to align behind technical and strategic goals. Qualifications BS/MS in Computer Science, Engineering, or equivalent experience. 10+ years in software engineering, including 3+ years as a manager leading high‑performing, impactful engineering teams. Good understanding of marketing technology platforms, campaign orchestration systems, and integrating tools across diverse feature sets (e.g., CRM, CDP, marketing automation platforms). Passionate about AI‑first approaches with demonstrated experience in implementing AI and machine learning solutions that improve decision‑making and precision in marketing tech. Strong expertise in designing scalable, extensible platforms and embedding seamless experiences into partner environments like marketing automation tools, ad‑tech networks, or social platforms. Strategic mindset combining business acumen with technical innovation, navigating technical complexities to deliver modular, multifaceted solutions. Proven ability to foster a culture of collaboration, innovation, and inclusivity. Track record for mentoring technical talent and scaling engineering organizations. Dedicated to building customer‑first solutions through end‑to‑end journey mapping and driving value for end‑users in every engagement. Confident communicator skilled in managing up, influencing cross‑functional stakeholders, and serving as the technical face of MarTech innovations internally and externally. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $213,500 - $288,500 #J-18808-Ljbffr

Come join Intuit VEP (Virtual Expert Platform) Team. VEP is at the heart of connecting our customers with expert guidance across all our products - QuickBooks, TurboTax, Mailchimp, and Credit Karma. We drive a multi‑billion‑dollar Services business (e.g., QuickBooks Live, TurboTax Live), enhance Customer Success through AI and human expertise, and provide Sales technology to connect with prospects and customers. We own the entire technology stack, from user interfaces and expert management systems to workforce operations, digital expertise and conversation capabilities, data infrastructure, and platform services. We collaborate closely with Product, Design, Marketing, and Operations to create seamless experiences for both users and experts. We are seeking a highly motivated and experienced Manager 2, Software Engineering to lead a team in developing complex and large‑scale software systems. The ideal candidate will possess strong technical skills, a deep understanding of Fullstack technologies, and a proven track record of delivering customer impact. They will also have a strong sense of operational excellence, a passion for building and growing high‑performing teams. Responsibilities Lead and manage a team of software engineers, providing guidance, mentorship, and support. Drive the design, development, and deployment of complex and large‑scale software systems. Ensure the reliability, scalability, and deployment of our software systems. Implement and maintain best practices for software development, including coding standards, code reviews, and testing. Design and build an abstraction for the computing infrastructure to improve usability and developer efficiency. Explore and implement AI and agentic technologies to improve system automation and capabilities, including AI‑powered autoscaling. Foster a culture of operational excellence, focusing on system stability, monitoring, and incident response. Take extreme ownership and accountability for the team's deliverables and outcomes. Remove barriers so the team can move fast. Collaborate with cross‑functional teams, including product management, engineering partners, and operations. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is: Southern California $200,500 - $271,000 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. See more about our compensation and benefits at Intuit : Careers | Benefits. Qualifications Bachelor's or Master's degree in Computer Science or a related field or equivalent experience. 10+ years of experience in software engineering, with a focus on developing complex and large‑scale systems. Proven track record of leading and managing software engineering teams. Strong technical skills and expertise in software development methodologies. Strong sense of operational excellence, with experience in system monitoring and incident response. Excellent leadership and communication skills. Ability to build and grow a high‑performing team. Strong sense of ownership and accountability. #J-18808-Ljbffr

A leading customer experience software company in San Francisco is seeking a Senior ML Engineer to enhance their retrieval-augmented generation platform. This role involves delivering AI capabilities and collaborating with product teams to define and implement features. Ideal candidates will have over 4 years of experience in machine learning, proficiency in Python and cloud services, and a solid understanding of software design. The position offers flexible work hours and opportunities for professional growth. #J-18808-Ljbffr

A leader in customer experience solutions is looking for a Senior ML Engineer to enhance their retrieval-augmented generation (RAG) platform. In this role, you will leverage the latest in LLM technology to deliver solutions at a large scale. Collaborating with product managers and ML scientists, you will mentor junior team members and ensure service reliability. The ideal candidate has over 4 years of experience in machine learning with a strong foundation in Python and cloud services like AWS. Join us to make a significant impact on customer experience. #J-18808-Ljbffr

A leading customer experience software provider in San Francisco is looking for a Senior ML Engineer to enhance their retrieval-augmented generation platform. In this role, you will deliver AI-powered solutions, collaborate with cross-functional teams, and mentor junior engineers. The ideal candidate will have over 4 years of experience in machine learning systems, solid cloud deployment skills, and excellent communication. The company offers flexible working hours, professional development funds, and a supportive work environment. #J-18808-Ljbffr

A leading financial technology company seeks a Software Engineering Group Manager to lead a talented team dedicated to AI-native product development. You will be responsible for driving strategic execution while fostering innovation and operational excellence. The role demands significant experience in large-scale software engineering and people management. You will collaborate across functions to develop products that provide financial intelligence to users. The position offers a competitive salary and comprehensive benefits package. #J-18808-Ljbffr

Join the Consumer Group (CG) AI team and take a pivotal leadership role driving the development and deployment of AI-native and embedded AI experiences for millions of TurboTax and Credit Karma customers. We are building the next generation of financial products fueled by and injected into Generative AI and Agentic experiences, with a mission to deliver prosperity around the world. You will be a highly technical and results-oriented leader, responsible for overseeing dynamic teams of Software Engineers and embedded AI Scientists. You will serve as a hands‑on engineering mentor and strategic driver, specializing in leveraging Generative AI, Agentic systems, and Model Context Protocol (MCP) to solve complex customer problems and unlock new business opportunities. You will drive rapid, iterative delivery, constantly uphold a high-quality bar, and strategically unblock your teams to ensure maximum velocity and performance. Success in this role requires a strong balance of deep technical fundamentals, business acumen, and exceptional cross‑functional partnership across the functions including Product, Legal, Security, and Design. Responsibilities AI-Native Product Delivery: Delivery of high‑quality, customer‑driven software offerings included embedded AI, MCP, and Agent‑enabled capabilities. This role is not an AI Science management role but rather an AI‑savvy engineering role. This includes a proven track record in shipping high‑quality, scalable, AI-native experiences (e.g., MCP tools used by agents) by leading teams of engineers and partnering (or leading) AI Scientist. Technical & Visionary Leadership: Provide strong technical leadership and strategic guidance, inspiring teams to adopt cutting‑edge AI tooling and innovations that fuel efficiency and quality in delivery and company growth. Engineering & Operational Excellence, expanded to AI: Drive the adoption of best practices, tools, and metrics across the organization. Create and drive new testing and quality evaluation techniques, and deliver automation to ensure solution robustness, in new areas around AI, agents, and embedded AI experiences. Talent Management & Team Building: Lead, mentor, and hire a high‑performing, results‑oriented organization. Provide technical leadership and manage the career development, objectives, and priorities of all reporting staff. Strategic Collaboration: Act as an expert communicator, fostering strong partnerships with multiple stakeholders (Product Management, Analytics, Design) to ensure technology reuse, architecture health, and common outcomes for high‑stakes company‑level initiatives. AI-native: able to spot appropriate applications for leveraging agentic, generative AI, MCP, and other cutting‑edge technologies to solve complex questions or fuel new business opportunities. Qualifications 15+ years of experience with a minimum of two years of proven track record leading high-performing engineering teams. Hands‑on engineering leader who can nurture working with highly motivated and extremely talented engineers to work on high‑visibility online product. Hands‑on expertise leading teams that ship software including Agentic capabilities, Generative AI, MCP, etc. Able to spot appropriate applications for leveraging these technologies to solve complex problems. Comfortable working on all tiers of modern applications, from the front‑end all the way to the database and strong exposure to Enterprise Java platform. Expert communicator and love working with multiple stakeholders for common outcomes with high stakes at company level. Strong business acumen. Understands the business internal and external landscape and thinks/acts strategically for all stakeholders. Drives strategic technology/engine reuse, technology and architecture health, and development process improvement. A highly technical and result-oriented leader experienced in determining goals and matching those with customer requirements and product roadmap. Adept at leading positive change, empowering people, cultivating product technology visions and innovative solutions, and fostering effective engineering teams. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: #J-18808-Ljbffr

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. **Team Name:** Feature Serving 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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. Join us to push the boundaries of scaling large models together. The team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of parameters models and large scale feature engineering infra for all AI use cases from recommendation models, large language models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute 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, vLLM, Hugginface, DeepSpeed etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning and Serving performance optimizations across billions of user queries Model Training Infrastructure: As an engineer on the AI Training Infra team, you will play a crucial role in building the next-gen training infrastructure to power AI use cases. You will design and implement high performance data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, enable distributed training over 100s of billions of parameter models, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, tensor parallelism, Zero++ etc. 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. PyTorch Lightning and more and more. Feature Engineering: this team shapes the future of AI with the state-of-the-art Feature Platform, which empowers AI Users to effortlessly create, compute, store, consume, monitor, and govern features within online, offline, and nearline environments, optimizing the process for model training and serving. As an engineer in the team, you will explore and innovate within the online, offline, and nearline spaces at scale (millions of QPS, multi terabytes of data, etc), developing and refining the infrastructure necessary to transform raw data into valuable feature insights. Utilizing leading open-source technologies like Spark, Beam, and Flink and more, you will play a crucial role in processing and structuring feature data, ensuring its most optimal storage in the Feature Store, and serving feature data with high performance. Model Serving Infrastructure: this team builds low latency high performance applications serving very large & complex models across LLM and Personalization models. As an engineer, you will build compute efficient infra on top of native cloud, enable GPU based inference for a large variety of use cases, cuda level optimizations for high performance, enable on-device and online training. Challenges include scale (10s of thousands of QPS, multiple terabytes of data, billions of model parameters), agility (experiment with hundreds of new ML models per quarter using thousands of features), and enabling GPU inference at scale. ML Ops: The MLOps and Experimentation team is responsible for the infrastructure that runs MLOps and experimentation systems across LinkedIn. From Ramping to Observability, this org powers the AI products that define LinkedIn. This team, inside MLOps, is responsible for AI Metadata, Observability, Orchestration, Ramping and Experimentation for all models; building tools that enable our product and infrastructure engineers to optimize their models and deliver the best performance possible. As a Software Engineer, you will have first-hand opportunities to advance one of the most scalable AI platforms in the world. At the same time, you will work together with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry. Responsibilities Designing, implementing, and optimizing the performance of large-scale distributed serving or 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. Partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity. Basic Qualifications + Bachelor's Degree in Computer Science or related technical discipline, or equivalent practical experience + 1+ years of experience in the industry with leading/ building deep learning systems. + Experience with Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages + Experience, qualifications in Machine Learning, AI Preferred Qualifications + 2+ years of relevant work experience + MS or PhD in Computer Science or related technical discipline + Experience building ML applications, LLM serving, GPU serving. + Experience with search systems or similar large-scale distributed systems + Experience with distributed data processing engines like Flink, Beam, Spark etc., feature engineering, + Experience in distributed machine learning training infrastructure, including technologies like Horovod, PyTorch FSDP, DeepSpeed, Hugginface, PyTorch Lightning, LLMs, GNNs, MLFlow, Kubeflow and large scale distributed systems + Familiarity with containers and container orchestration systems like Kubernetes + Experience in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills + ML Algorithm Development + Experience in Machine Learning and Deep Learning + Distributed Systems 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 $114,000 - $189,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Team Name: Feature Serving 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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. Join us to push the boundaries of scaling large models together. The team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of parameters models and large scale feature engineering infra for all AI use cases from recommendation models, large language models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute 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, vLLM, Hugginface, DeepSpeed etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning and Serving performance optimizations across billions of user queries Model Training Infrastructure: As an engineer on the AI Training Infra team, you will play a crucial role in building the next-gen training infrastructure to power AI use cases. You will design and implement high performance data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, enable distributed training over 100s of billions of parameter models, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, tensor parallelism, Zero++ etc. 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. PyTorch Lightning and more and more. Feature Engineering: this team shapes the future of AI with the state-of-the-art Feature Platform, which empowers AI Users to effortlessly create, compute, store, consume, monitor, and govern features within online, offline, and nearline environments, optimizing the process for model training and serving. As an engineer in the team, you will explore and innovate within the online, offline, and nearline spaces at scale (millions of QPS, multi terabytes of data, etc), developing and refining the infrastructure necessary to transform raw data into valuable feature insights. Utilizing leading open-source technologies like Spark, Beam, and Flink and more, you will play a crucial role in processing and structuring feature data, ensuring its most optimal storage in the Feature Store, and serving feature data with high performance. Model Serving Infrastructure: this team builds low latency high performance applications serving very large & complex models across LLM and Personalization models. As an engineer, you will build compute efficient infra on top of native cloud, enable GPU based inference for a large variety of use cases, cuda level optimizations for high performance, enable on-device and online training. Challenges include scale (10s of thousands of QPS, multiple terabytes of data, billions of model parameters), agility (experiment with hundreds of new ML models per quarter using thousands of features), and enabling GPU inference at scale. ML Ops: The MLOps and Experimentation team is responsible for the infrastructure that runs MLOps and experimentation systems across LinkedIn. From Ramping to Observability, this org powers the AI products that define LinkedIn. This team, inside MLOps, is responsible for AI Metadata, Observability, Orchestration, Ramping and Experimentation for all models; building tools that enable our product and infrastructure engineers to optimize their models and deliver the best performance possible. As a Software Engineer, you will have first-hand opportunities to advance one of the most scalable AI platforms in the world. At the same time, you will work together with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry. Responsibilities Designing, implementing, and optimizing the performance of large-scale distributed serving or 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. Partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity. Qualifications Basic Qualifications Bachelor's Degree in Computer Science or related technical discipline, or equivalent practical experience 1+ years of experience in the industry with leading/ building deep learning systems. Experience with Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages Experience, qualifications in Machine Learning, AI Preferred Qualifications 2+ years of relevant work experience MS or PhD in Computer Science or related technical discipline Experience building ML applications, LLM serving, GPU serving. Experience with search systems or similar large-scale distributed systems Experience with distributed data processing engines like Flink, Beam, Spark etc., feature engineering, Experience in distributed machine learning training infrastructure, including technologies like Horovod, PyTorch FSDP, DeepSpeed, Hugginface, PyTorch Lightning, LLMs, GNNs, MLFlow, Kubeflow and large scale distributed systems Familiarity with containers and container orchestration systems like Kubernetes Experience in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills ML Algorithm Development Experience in Machine Learning and Deep Learning Distributed Systems 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 $114,000 - $189,000. 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 ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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 [email protected] 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that 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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Our mission is to provide a reliable, efficient, and intuitive development ecosystem that empowers iOS engineers to be highly productive. Our team supports hundreds of engineers who build LinkedIn's iOS applications, spanning the entire development lifecycle - from code authoring and code quality to build and test infrastructure. We develop and maintain the core infrastructure, shared components, developer experience tools, and distributed testing systems to meet the challenges of scale that come with a large codebase and engineering team. Our initiatives focus on improving productivity through code modularization, test and code isolation, and robust dependency management. We ensure developers have access to the latest Apple technologies by rapidly integrating new tooling and releases. Additionally, we optimize CI pipelines and workflows for speed and reliability through these efforts. Responsibilities + Design and implement user-facing features for LinkedIn's native iOS application, leveraging Apple's mobile frameworks for multi-threading, data persistence, and adaptive UI to support multiple device types. + Utilize cutting-edge technologies and libraries recommended by Apple to build responsive, high-performance native iOS apps. + Develop scalable mobile applications using LinkedIn's internal libraries and infrastructure. + Make architectural decisions by applying synchronous and asynchronous design patterns, writing clean, efficient code, and delivering with speed and quality. + Build and maintain robust CI pipelines to support efficient build and test workflows for LinkedIn's iOS applications. + Produce high-quality software that is unit tested, peer-reviewed, and continuously integrated. + Provide technical leadership by driving best engineering practices and executing large-scale, cross-functional, and mission-critical programs. + Identify and champion opportunities to enhance engineering productivity across the organization. Basic Qualifications - BA/BS in Computer Science or related technical field or equivalent practical experience. - 1+ years of industry experience - Programming experience in languages such as Java, C/C++, Python, Objective-C, Swift, etc. Preferred Qualifications - 2+ years of relevant work experience. - MS or PhD in Computer Science or related technical discipline. Suggest Skills + Objective-C + Swift + iOS development toolchains such as Xcode 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 $102,000 to $167,000 . 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that 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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Technology leaders collaborate, maintain balance, commit and achieve results - all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community. As a Distinguished Engineer at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn's growth ecosystem - from PYMK to Notifications to Agentic Onboarding - by employing the developing state of the art technologies - from reinforcement learning to generative AI and large models. You will develop strategies to drive user retention throughout the user lifecycle across LinkedIn's consumer ecosystem, helping accelerate LinkedIn's vision as a leader within the Growth team. Responsibilities: + Help define business strategy and technical strategy and drive alignment cross functionally. + Head cross team/cross functional discussions and drive alignment on product/technology strategy. + Help build highly scalable systems and applications to enable the organization to achieve its goals. + Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. + Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. + Establish a culture that values diverse viewpoints while navigating complex decisions. Basic Qualifications: + Bachelor's degree in Computer Science or a related field, or equivalent experience + 10+ years of relevant work experience + Experience leading technical projects with multiple stakeholders Preferred Qualifications: + PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience + 10+ years experience in building engaging AI-powered consumer products at scale, with at least 5 of those years in a technical leadership position + Experience in designing and optimizing recommender systems that create highly personalized experiences for LinkedIn's members and scale to solve complex business problems + Experience in leading large scale development projects from concept to multiple releases in production + Experience of technical leadership guiding and mentoring engineering and operations talent + Experience leading high-impact, cross-company initiatives + Dream big. Make big, bold moves to define and build the next generation of products Suggested Skills: + Mentorship + Technical Leadership + Machine Learning 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 $248,000 to $406,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that 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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Our team, UX Engineering, is passionate about every pixel. At the heart of our work is our commitment to delivering a user experience that is accessible, consistent, high-performing, and delightful. We are creating the framework for the next generation of consumer and enterprise applications at LinkedIn. As a Software Engineer on iOS, you will design and develop core user experience components, capabilities, and frameworks, establish the underlying infrastructure, collaborate with design systems and product engineering teams, and provide architectural guidance. Your role will enable these teams to experiment and build their features with high quality and velocity. **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. - 1+ years of industry experience - 1+ years programming experience in languages such as Objective-C, UIKit, Swift, Java, Kotlin. **Preferred Qualifications** - 2+ years of relevant work experience. - MS in Computer Science or related technical discipline. **Suggest Skills** + Objective-C + Swift + iOS development toolchains such as Xcode + Kotlin + Java 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 $102,000 to $167,000 . 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that 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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Our team, UX Engineering, is passionate about every pixel. At the heart of our work is our commitment to delivering a user experience that is accessible, consistent, high-performing, and delightful. We are creating the framework for the next generation of consumer and enterprise applications at LinkedIn. As a Software Engineer on iOS, you will design and develop core user experience components, capabilities, and frameworks, establish the underlying infrastructure, collaborate with design systems and product engineering teams, and provide architectural guidance. Your role will enable these teams to experiment and build their features with high quality and velocity. 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. Qualifications Basic Qualifications • BA/BS in Computer Science or related technical field or equivalent practical experience. • 1+ years of industry experience • 1+ years programming experience in languages such as Objective-C, UIKit, Swift, Java, Kotlin. Preferred Qualifications • 2+ years of relevant work experience. • MS in Computer Science or related technical discipline. Suggest Skills Objective-C Swift iOS development toolchains such as Xcode Kotlin Java 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 $102,000 to $167,000 . 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 ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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 [email protected] 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that 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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Technology leaders collaborate, maintain balance, commit and achieve results - all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community. As a Distinguished Engineer at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn's growth ecosystem - from PYMK to Notifications to Agentic Onboarding - by employing the developing state of the art technologies - from reinforcement learning to generative AI and large models. You will develop strategies to drive user retention throughout the user lifecycle across LinkedIn's consumer ecosystem, helping accelerate LinkedIn's vision as a leader within the Growth team. Responsibilities: Help define business strategy and technical strategy and drive alignment cross functionally. Head cross team/cross functional discussions and drive alignment on product/technology strategy. Help build highly scalable systems and applications to enable the organization to achieve its goals. Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. Establish a culture that values diverse viewpoints while navigating complex decisions. Qualifications Basic Qualifications: Bachelor's degree in Computer Science or a related field, or equivalent experience 10+ years of relevant work experience Experience leading technical projects with multiple stakeholders Preferred Qualifications: PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience 10+ years experience in building engaging AI-powered consumer products at scale, with at least 5 of those years in a technical leadership position Experience in designing and optimizing recommender systems that create highly personalized experiences for LinkedIn's members and scale to solve complex business problems Experience in leading large scale development projects from concept to multiple releases in production Experience of technical leadership guiding and mentoring engineering and operations talent Experience leading high-impact, cross-company initiatives Dream big. Make big, bold moves to define and build the next generation of products Suggested Skills: Mentorship Technical Leadership Machine Learning 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 $248,000 to $406,000. 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 ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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 [email protected] 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************