Pinterest Jobs

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds this mission and pushes Pinterest forward. You'll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that's uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. What you'll do: Develop Python scripts for data modeling and pipelines on the Snowflake data platform. Gain insights into Pinterest's company-wide standards, security measures, and governance practices surrounding data utilization. Take ownership of a specific project aimed at addressing a real-world Pinterest use case. Foster a culture of open communication and contribute candidly to new ideas and opinions as you grow professionally and personally through various learning and development opportunities. Collaborate effectively with your team and make meaningful contributions to real projects that directly impact Pinterest. Engage with senior leaders, build relationships with diverse employees across the company, and participate in various events beyond your core responsibilities. What we're looking for: Intermediate skills in Python and SQL Experience manipulating data using Python Passion for collaborating with others on a team to progress projects Ability to document code Ability to present your work in front of technical and non-technical audiences. 2-3 years of CS classes under your belt (Intro to CS and Algorithms, Advanced Algorithms, Operating Systems and Data Structures are all great!) Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms. Aptitude for Python and SQL A curious nature with a desire to tackle and solve complex problems This position requires current enrollment in a school or education program in which the individual is working towards a Bachelor's in IS/MIS, or other engineering areas or a related technical field Obtain Bachelor's in IS/MIS or a related technical field by June 2027 This position is remote. Visit our PinFlex page to learn more about our working model. The internship program will run May 20, 2025 - August 9, 2025 and June 17, 2025 - September 6, 2025. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. The minimum and maximum salary for this position is $7,500 - $9,000 monthly. #LI-REMOTE Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

At LinkedIn, our mission is to create economic opportunity for every member of the global workforce. We are committed to connecting the world's professionals and empowering them to be more productive and successful. As we strive to achieve our vision, we are looking for an exceptional Director - Technical Program Management to join our team and play a pivotal role in shaping the future of our infrastructure and technology. 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. Role Overview: As a Director - Technical Program Manager, you will be responsible for spearheading key technical and operational initiatives supporting AI/product platforms foundational to all LinkedIn product lines. This position requires working closely with product lines of business and infrastructure teams to own the process for long-range hardware capacity demands and ROI-driven allocation. Your expertise will drive the upgrade of automation for hardware capacity demand planning and ensure its successful delivery over the course of several years. You will also drive large-scale cross-functional AI platform initiatives and build executive alignment to deliver impact. Your work will directly contribute to our purpose of creating economic opportunities and fostering productivity for professionals worldwide. Duties and Responsibilities: Hardware Demand forecasting and planning: Collaborate with executive leadership to define the framework and process to plan and allocate GPU/CPU/hardware resources for optimal ROI Drive the planning and execution of cross-functional initiatives to incentivize better forecasting and hardware efficiency, involving infrastructure teams, and other relevant stakeholders. Work with product teams to identify the technical requirements for GPU and other hardware usage needs to ensure optimal resource utilization. Execution and Delivery of strategic AI platform initiatives: Lead the end-to-end execution of critical AI platform investments, spanning several years, from conceptualization to successful implementation. Coordinate technical requirements, acting as a liaison between platform owners and internal customer teams Drive decision-making among stakeholders to explore and propose top options for resolution, driving alignment and ownership of solutions. Executive-level Communication and Alignment: Convey complex technical concepts and progress updates to executive-level stakeholders, fostering understanding and alignment across multiple organizational units. Drive prioritization discussions, emphasizing the importance of technical depth and credibility to gain support for strategic initiatives. Management and Mentorship Manage, mentor and grow the existing TPM team Basic Qualifications: Bachelor's or Master's degree in a relevant technical field. Minimum of 10 years of experience in Technical Program Management or Product Management, with a strong focus on infrastructure and scalability. Proven expertise in driving complex AI and hardware capacity initiatives, delivering successful outcomes. Preferred Qualifications Exceptional communication and persuasion skills, capable of convincing and aligning executive-level stakeholders. Ability to identify technical disconnects and propose top options for resolution while taking ownership of driving alignment. Strong leadership and mentoring capabilities, with a passion for fostering a culture of innovation and collaboration. Relevant certifications in program management and technology are advantageous. “Suggested Skills” -Program management -Leadership -Collaboration LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $185,000 to $304,000. 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. 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 was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. We are looking for Artificial Intelligence interns to work on our massive semi-structured text, graph and user activity data sets. Join LinkedIn's AI/ML team as a PhD intern focused on Responsible AI and Trust Engineering. In this role, you will help shape the future of AI by ensuring that LinkedIn's AI systems are designed and deployed ethically, transparently, and fairly. You will work on cutting-edge AI models and tools that enhance trust and accountability, addressing critical challenges such as bias mitigation, fairness, privacy, and explainability. This internship offers a unique opportunity to conduct impactful research and develop responsible AI solutions that affect millions of LinkedIn users. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2025 or later. 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 internship roles will be based in Mountain View, CA; or other US office locations. Our internships are 12 weeks in length and will have the option of two intern sessions: • May 27th, 2025 - August 15th, 2025 • June 16th, 2025 - September 5th, 2025 Responsibilities: •Conduct research on ethical AI, including fairness, transparency, bias detection, and mitigation techniques in machine learning models. •Design and implement scalable algorithms to enhance trust in LinkedIn's AI systems, focusing on fairness, explainability, and accountability. •Collaborate with cross-functional teams to integrate responsible AI principles into LinkedIn's AI-driven products and services. •Develop frameworks and tools for detecting, mitigating, and monitoring bias in machine learning models, ensuring that LinkedIn's recommendations and systems serve diverse and global user bases fairly. •Stay current with the latest research and best practices in responsible AI, contributing to publications in top-tier AI ethics and ML conferences. •Work in a highly collaborative environment with mentors, business experts and technologists to conduct independent research and help deliver intuitive solutions to our products and services Basic Qualifications: •Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship •Research experience in responsible AI, trust engineering, or fairness in machine learning. •Experience in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow) and libraries for fairness (e.g., AI Fairness 360, FairLearn). •Understanding of AI ethics, bias in machine learning, explainable AI, and privacy-preserving techniques. •Experience with regulatory standards and ethical guidelines for AI (e.g., GDPR, fairness audits). Preferred Qualifications: •Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R •Experience or desire to learn Hadoop, Pig, or other MapReduce paradigms •Experience with real-world applications of ethical AI and deploying models that address fairness, bias, or trustworthiness. •Hands-on experience building explainable AI models or interpretable ML systems. •Knowledge of adversarial machine learning and privacy-preserving techniques (e.g., differential privacy, federated learning). •Strong publication record in AI ethics, fairness, or trustworthy AI conferences (e.g., FAT*, AIES, NeurIPS, ICML). •Excellent problem-solving skills and a passion for advancing responsible AI in a fast-paced, collaborative environment •Excellent communication skills Suggested Skills: •Machine Learning and Deep Learning • Advanced Data Mining •Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 - $70 per hour. 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 the cutting edge of AI. 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. Job Description: As a Staff AI Scientist, you will play a pivotal role in advancing LinkedIn's efforts in cutting-edge AI research and development, focusing on large-scale foundation models and AI innovations. You will specialize in developing, training, and optimizing foundation models, including Large Language Models (LLMs), utilizing state-of-the-art deep learning architectures such as multi-billion parameter transformers and scaling them to serve LinkedIn's global user base. Your work will involve the design and deployment of high-performance AI systems, leveraging GPUs and other hardware accelerators for large-scale training and inference. You will collaborate with a world-class team of researchers and engineers to develop and advance the next generation of AI models to push the boundaries of AI at scale, working on complex problems such as distributed training, model parallelism, and system co-design. A successful candidate will be comfortable operating at the intersection of AI research and engineering, with a deep understanding of the latest advancements including but not limited to large model training, post-training techniques for planning and reasoning, fine-tuning strategies, reinforcement learning techniques. Responsibilities: • Lead and contribute to the research, design, and development of large-scale foundation AI models, focusing on LLMs, transformer architectures, and cutting-edge AI systems. • Publish the findings and innovations as the latest academic and industry research in top notch core AI venues such as ICML, NeurIPS, ICLR, ACL,, patents, and conferences as appropriate. • Stay abreast of the latest academic and industry research, applying relevant findings to improve LinkedIn's AI capabilities. • Innovate in large-scale model training, leveraging GPUs and specialized hardware for optimal performance. • Develop and maintain scalable AI pipelines, optimizing training and inference workflows to handle vast amounts of data. • Mentor junior engineers and contribute to team growth and knowledge sharing. • Collaborate with cross-functional teams of machine learning engineers, infrastructure engineers, and AI researchers to deliver impactful AI innovations across LinkedIn's products. Basic Qualifications: • Bachelor's degree in Computer Science or related technical field or equivalent practical experience • 4+ years of experience with programming languages such as Java, Python, etc. • 4+ years of experience in machine learning or AI engineering. • 4+ years of experience in the design and development of algorithmic solutions. Preferred Qualifications: • 6+ years of hands-on experience in large-scale model training, model-system co-design, or large AI systems. • PhD in Computer Science, Machine Learning, or a related technical discipline with a focus on advanced AI/ML techniques • Proven experience in building and optimizing large-scale AI/ML models using frameworks such as PyTorch, PySpark, and CUDA. • Proven track record of publications in top notch core AI venues including but not limited to ICML, NeurIPS, ICLR, ACL. • Expertise in distributed training, model parallelism, and hardware acceleration for AI workloads, including GPUs and TPUs. • Demonstrated ability to solve complex AI challenges in large-scale environments, optimizing models for efficiency and scalability. • Strong proficiency in AI system design, model optimization, and the development of production-quality AI pipelines. • Published work in AI research or significant contributions to industry-leading AI technologies. • Excellent communication skills and a demonstrated sense of ownership over key AI projects. Suggested Skills: • Large Language Models (LLM) • Generative AI (GAI) • AI Research and Development • GPU and Hardware Acceleration • Distributed AI Systems and Model Parallelism • 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 $164,000 - $268,000. Actual compensation packages are based on several factors 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 plans. For more information, visit LinkedIn Benefits. 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, connecting professionals globally and creating economic opportunities for every member of the workforce. Our commitment to maintaining the highest standards of security and compliance is crucial to building trust with our members and partners. 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 Overview We are seeking a dynamic and experienced Senior Director to lead the Engineering Compliance & Governance team within the Information Security team at LinkedIn. As a key player in our security strategy, you will drive the development and implementation of robust compliance and governance programs, ensuring the security and integrity of our systems and data. Lead the development and implementation of risk management strategies, integrating control compliance. Oversee internal and external audits to assess the effectiveness of security and compliance controls, including, PCI, NIST, SOC 2, ISO, SOX, NFD, MRC, DSA, DMA and AI Governance. Be a trusted advisor to R&D teams to help them build systems that are secure and compliant with applicable laws and regulations Collaborate with cross-functional partner teams (Eng & Product teams, Legal and Financial compliance teams, Sales, etc.) to enhance governance, risk, and compliance frameworks, building strong relationships with LinkedIn and Microsoft stakeholders. Support LinkedIn's enterprise customers across the globe, increasing customer trust through security and privacy consultation and strategically meeting customer security requirements. Key Deliverables and Measures of Success (Next 12 months) Successfully maintain compliance and manage multiple audit regimes annually, including PCI, NIST 800-53, SOC 2, ISO, SOX, NFD, MRC, DSA, DMA, AI Governance and others. Evolve security policy governance and drive development and adoption of security policies, standards, and the common control framework. Further mature risk management by improving the risk management framework. Operationalize business continuity and resilience (BC&R) programs across all of LinkedIn. Continuously evaluate and improve compliance processes and procedures to ensure that they remain effective and efficient over time. Automate engineering controls as well as compliance operations. Automate enterprise customer security and privacy requests through the evaluation of tools and solutions. Basic Qualifications 12+ years of experience in information security & risk governance frameworks and technology operations best practices across Technology and Financial industries. At least 10 years in a senior leadership position managing engineering teams at scale. Proven experience managing data systems at scale, with an emphasis on data quality, governance, and compliance. Expertise in compliance frameworks such as PCI, NIST 800-53, SOC 2, ISO, SOX, NFD, MRC, DSA, DMA and AI Governance. Experience leading compliance teams at similar scale and size of LinkedIn including managing service providers and audit firms Preferred Qualifications Engineering mindset or background. Experience working in collaboration with legal and finance compliance teams to design and implement data compliance solutions. Prior experience working in large-scale cloud or enterprise environments with a strong focus on data security and compliance. Deep knowledge of regulatory technology and trends, especially in relation to data engineering and governance. Strong technical acumen in engineering risk and compliance frameworks. Excellent communication skills. Strong collaborator and executive presence. “Suggested Skills” -Information security -Risk governance -Leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $209,000 to $343,000. 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. 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. About Traffic SRE Traffic is responsible for delivering LinkedIn products and services to everyone on the Internet. Our team operates the edge of LinkedIn's data centers with a massive infrastructure that serves over 1 Billion members and Millions requests per second. We develop and manage Layer 4 and Layer 7 network proxies, load balancers, service discovery, monitoring, CI/CD pipelines. We're looking for engineers who want to solve challenging problems at the pace of LinkedIn's accelerating growth. It's highly-visible work that impacts our site every day, and we try to do it in a way that makes our lives easier. Come join us in this mission supporting LinkedIn's reach to every member of the global workforce. 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. This role will be based in Sunnyvale, CA Responsibilities: ● Serve as a primary point responsible for the overall health, performance, and capacity of one or more of our Internet-facing services ● Gain deep knowledge of our complex applications. ● Develop and assist in the roll-out and deployment of new product features and installations to facilitate our rapid iteration and constant growth. ● Develop tools to improve our ability to rapidly deploy and effectively monitor custom applications in a large-scale linux environment. ● Work closely with partner teams to ensure that platforms are designed with "operability" in mind. ● Function well in a fast-paced, rapidly-changing environment. ● Participate in a 24x7 rotation for second-tier escalations. Basic Qualifications: ● B.S. or higher in Computer Science or other technical discipline, or related practical experience. ● 2+ years experience with operating and troubleshooting Linux at scale. ● Programming skills (Go, C/C++, Python, Rust, Java) Preferred Qualifications: ● 5+ years in a UNIX-based large-scale web operations role. Experience with Kubernetes, Azure, On-prem. ● Experience with reverse proxies / load balancers (ATS, HAProxy, IPVS, etc..), TCP/IP networking. ● Experience with C/C++ / Go / Python server development, performance, and troubleshooting. ● Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a globally diverse, team-focused environment with other SREs, SWEs, Product Managers, etc. ● Knowledge of most of these: data structures, relational and non-relational databases, networking, Linux internals, filesystems, web architecture, and related topics Suggested Skills: 1. Go, C/C++, Python, Rust, Java development and troubleshooting 2. Linux systems and TCP/IP network troubleshooting 3. High availability web services 4. Edge/Traffic networking 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. LinkedIn is looking for an experienced Staff Business Systems Analyst (BSA) to support the ServiceNow (SNOW) team in Productivity Engineering (PE). The Staff BSA will act as a critical bridge between the engineering team (technical knowledge) and our business stakeholders (process excellence). This role we will greatly influence strategy and scale of the platform through recommendations based on being a subject matter expert (SME) of the ITSM module of SNOW. 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. Responsibilities: • Act as a liaison between business stakeholders and the Enterprise Innovation (EI) Organization. • Collaborate with IT and business teams to conduct requirement gathering workshops, data analysis, problem-solving, and functional design. • Work with business teams and users (Business Applications, WorkPlace, Finance, HR, etc.) to document current business processes/applications and identify new business requirements for Software Optimization Strategy. • Conduct trainings and workshops on SNOW best practices. • Run reporting and aggregate data to empower decision making. • Partner with Product owners and business stakeholders to drive alignment, optimize end-to-end processes, identify areas for improvement, and implement process improvement requirements. • Investigate and collaborate with cross-functional partners to address systemic issues. • Utilize business knowledge and expertise to identify opportunities for process improvements and serve as a trusted technology advisor for the business. • Create and present functional and technical designs, including data analysis, to business teams and gather feedback to influence solution design and approach. • Propose and evaluate solutions for business issues, ensuring they meet business requirements. • Facilitate review sessions with functional owners and end-user representatives. • Participate in end-to-end implementation planning, including project management, issue management, communication, and change management. • Develop and conduct change management programs and initiatives. • Manage User Acceptance Testing (UAT) with end users, including coordination and user acceptance signoff. • Update, implement, and maintain required documentation. • Identify and evaluate risks, gaps, and process inefficiencies. Outside of core responsibilities, this role will also act as a Program Manager for large scale implementations, enhancements, and platform upgrades. Basic Qualifications: • BA/BS Degree in Business Administration, Computer Science, Finance, Accounting or related technical discipline, or related practical experience • 8+ years experience in implementation, development, process re-engineering and support of ServiceNow • Experience leading a team of business analysts and/or developers • Experience leading design and architecture meetings and projects • Ability to identify, gather requirements, provide guidance and assist in designing and developing in support of ServiceNow Preferred Qualifications: • Demonstrated ability to have successfully completed multiple, complex IT projects using Agile methodologies in the SNOW ITSM module. • Demonstrated experience in project conceptualization and planning. • Ability to communicate in a clear and concise professional manner, tailored to the appropriate audience, including both verbal and written communications. • Ability to lead and work collaboratively within a business unit team and have strong influencing skills. • Ability to manage multiple priorities and complex tasks in a dynamic work environment. • Experience preparing conducting end-user training. • Self-directed and results driven with demonstrated ability to multi-task, prioritize and execute on multiple deliverables concurrently. • Analytical and product management skills, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements. • Verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. • Ability to work effectively in cross-functional teams. • Experience with program management and project collaboration and reporting tools (e.g., ticketing system - primarily SNOW but not limited to some of the following: Jira, ADO, Smartsheets, SharePoint, PowerBI or Google Tools) Suggested Skills: • ServiceNow • Program Management • Stakeholder Management Linkedln is committed to fair and equitable compensation practices. The pay range for this role is $127,000 to $207,000. 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. Serving our 800+ million members worldwide, the Trust organization is tasked with keeping LinkedIn a professional place. Our team members are proactive, motivated, organized, and possess a global perspective - and able to work well in a team-oriented environment. The Trust team is looking for a Sr Trust Risk Manager who will play a key role in scoping, prioritizing, and executing various projects and initiatives. These roles range from identifying fraud/abuse systems & tool implementations to performing risk assessments for new products and features and handling incident response for critical time-sensitive issues to helping coordinate and design new workflows to support the greater Trust Organization. You will be exposed to a wide array of technical and non-technical projects at any one time that support LinkedIn's business and operations. Responsibilities ● Gather and document business needs and requirements from internal business partners. This may require taking deep dives into business processes, policies, workflows and tools and systems. ● Perform risk assessments for new products and features to mitigate risk to members and customers. ● Handle critical time-sensitive incidents of high impact to the company. ● Perform post-mortem to analyze gaps and identify optimizations to products and processes. ● Craft and communicate effective data-driven stories and updates to internal stakeholders in order to influence decisions and outcomes. ● Apply industry knowledge to educate & empower members, customers, and employees on trust & security issues through developing and maintaining Safety Center & Help Center content. ● Work collaboratively with business and technical stakeholders to identify optimal solutions based on a variety of criteria (cost, level of effort, complexity, timing, etc). ● Prioritize projects appropriately and help define strategy & roadmap. ● Manage project deliveries and bring projects to completion. Identify project milestones. Lead cross-functional team including third-party vendors to aggressively address key project issues, identify solutions and remove obstacles. ● Provide status/health of projects to stakeholders and management on a regular basis. ● Clearly identify dependencies and risks associated with all projects. ● Interface with Product and Engineering teams regarding the needs of review teams, trends on labeling, and efficiency of classifiers. ● Responsible for identifying, tracking, and communicating the health of classifiers across multiple teams and stakeholders. Basic Qualifications ● 5+ years of product risk assessment experience, anti-abuse operations, risk policy, or other related fields. ● 5+ years of Product Management, Project Management, or related Trust experience. ● BA/BS degree in a related technical discipline or related practical experience. Preferred Qualifications ● Technology industry experience. ● Experience working with classifiers. ● Experience working with multiple cross-functional teams simultaneously . ● Outstanding organizational as well as verbal and written communication skills. ● Ability to establish credibility and rapport with technical and non-technical team members and to work collaboratively and cross-functionally. ● Analytical and problem solving skills; Ability to understand business and technical requirements and “speak the language” of the various stakeholders. ● Ability to influence and negotiate prioritization of product changes. ● Ability to multitask effectively and maintain a high level of attention to detail. ● Ability to adapt to changing business and technical conditions. ● Experience with common project management tools/Familiarity with agile development or other rapid iteration methodologies. ● Experience with metrics, analysis and other data-driven decision making. ● Familiarity with principles of programming including SQL, HTML, Tableau ● Ability to develop working knowledge of technical aspects of systems, including configuration, settings, logging, and permissions. ● Prior experience with risk management, Trust, and/or security strongly preferred. Suggested Skills: ● Trust, Security ● Risk Management & Risk Policy ● Stakeholder Management Linkedln is committed to fair and equitable compensation practices. The pay range for this role is $112,000 to $185,000. 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 was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. We are seeking data science interns to work on our rich datasets, encompassing text, graphs, and user interactions. Join us to tackle real-world problems through cutting-edge applied research, focusing on experimentation, causal inference, and machine learning. You will have the opportunity to build models to advance our understanding of ecosystem, develop insights through data mining and analytics, and apply advanced algorithms to improve measurement and recommendations. This role is ideal for those with a passion for translating data into impactful solutions and building scalable, data-driven insights and systems. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2025 or later. 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 internship roles will be based in Mountain View, CA; or other US office locations. Our internships are 12 weeks in length and will have the option of two intern sessions: • May 27th, 2025 - August 15th, 2025 • June 16th, 2025 - September 5th, 2025 Responsibilities: • Analyze large-scale structured and unstructured data to gain actionable insights, identify patterns, and interpret user behaviors. • Conduct in-depth and rigorous causal analysis and develop causal methodology and machine learning models to drive member value • Explore vast datasets to discover relevant features and attributes that can improve the performance of existing models. Extract valuable information from unstructured data sources and apply feature engineering techniques to enhance model effectiveness. Continuously optimize and fine-tune models to meet business objectives and user expectations. • Initiate and drive projects to completion independently with production quality code and thorough documentation Basic Qualifications: • Currently pursuing a PhD in computer science, statistics, mathematics, machine learning, or related technical field and returning to the program after the completion of the internship • Research experience related to one of the following domains: Experimentation and causal inference, Machine Learning, Differential Privacy, Forecasting, Econometrics, Operations Research, or related area, with publications in top tier conferences. • Hands-on experience with machine learning, data mining, or statistics Preferred Qualifications: • Understanding of common programming languages used in Data Science , such as Python, Java, C++, and R • Experience with SQL/Relational databases Suggested Skills: • Machine Learning • Research • Causal Inference LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57- $70 per hour. 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 was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. We are looking for Artificial Intelligence interns to work on our massive semi-structured text, graph and user activity data sets. This internship will focus on various NLP or LLM concepts to help LinkedIn to become a more intuitive product. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. This is a unique opportunity to apply your research expertise to real-world problems, collaborate with industry-leading AI/ML engineers, and build solutions that impact millions of users. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2025 or later. 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 internship roles will be based in Mountain View, CA; or other US office locations. Our internships are 12 weeks in length and will have the option of two intern sessions: • May 27th, 2025 - August 15th, 2025 • June 16th, 2025 - September 5th, 2025 Responsibilities: • Work with large data sets, crunching millions of samples for statistical modeling, data mining, recommendation solutions • Research and develop innovative NLP models, with a focus on LLMs, to solve problems related to information retrieval, text classification, machine translation, and question answering. • Design and implement scalable, production-level algorithms for natural language understanding and generation. • Collaborate with cross-functional teams to integrate NLP/LLM solutions into LinkedIn's platform, enhancing user experience and recommendation systems. • Design Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy • Select appropriate annotated datasets for Supervised Learning methods • Use effective text representations to transform natural language into useful features Basic Qualifications: • Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship • Knowledge of core computer science concepts such as object-oriented design, algorithm design, data structures, problem-solving, and complexity analysis • Research experience in NLP, LLMs, or related areas. • Experience in Python and popular deep learning frameworks such as TensorFlow, PyTorch, or JAX. • Experience working with transformer models (e.g., BERT, GPT, T5) and understanding of attention mechanisms, transfer learning, and fine-tuning LLMs. Preferred Qualifications: • Experience with large-scale pretraining and fine-tuning of LLMs on diverse NLP tasks. • Hands-on experience deploying NLP models in production environments. • Experience with reinforcement learning, self-supervised learning, and few-shot learning in NLP applications • Practical knowledge with deep learning and machine learning algorithms and the use of popular AI/ML frameworks • Published work in academic conferences or industry circles • Involvement in consumer-facing product development and design • Experience with command of algorithms and data structures • Understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms • Expertise in clustering, collaborative filtering, and classification techniques (Naïve Bayes, SVM, NN, Boosting Methods, etc.) • Excellent communication skills Suggested Skills: • Machine Learning and Deep Learning • Advanced Data Mining • Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 - $70 per hour. 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. This role is located in Sunnyvale, CA. LinkedIn is seeking an experienced Staff Engineering Compliance Program Manager to join the Engineering Compliance team. The engineering compliance team drives and manages multiple compliance programs: SOX, MRC, NFD (Non Financial Disclosure metrics), DMA, DSA, AI Governance for LinkedIn Engineering. The successful candidate will collaborate closely with engineering and systems teams, leading programs and operations across compliances. They will coordinate with internal and external compliance and audit stakeholders while ensuring the alignment of compliant processes with LinkedIn's overarching company strategy. The ideal candidate should demonstrate a profound understanding of regulatory landscapes, possess strong compliance program management skills for ensuring optimal compliance processes, and engineering skills for effective technical understanding for compliance. Responsibilities: • Drive comprehensive compliance programs including planning, scoping, facilitating walkthroughs, reporting,, documenting controls and processes • Lead on compliance review initiatives, intake processes, gap analysis and recommending process enhancements to mitigate risks and meet compliance requirements • Collaborate with internal and external audit teams to support audits coordinating testing evidence collection, communication and reporting • Enable effective system remediation efforts by working with teams to identify root causes, analyze impacts, and design long term solutions for issues / gaps • Improve compliance program management including reporting progress on key deliverables, scaling controls monitoring, improved tooling, high-quality reports and dashboard • Foster collaborative relationships with cross-functional stakeholders including Engineering, Product, Legal, Finance and other stakeholders to stay up to date with changing landscape and develop successful compliance programs in alignment with LinkedIn's strategic objectives • Liaise with internal regulatory teams, certification agencies, and industry groups as needed for compliance. • Collaborate with management, internal and external compliance / audit stakeholders to stay updated on new compliance requirements Basic Qualifications: • BA/BS Degree in Computer Science, Engineering, Accounting or related technical discipline, or equivalent practical experience • 7+ years of relevant work experience in technology compliance services or related field • 7+ years of experience with technology compliance across domains such as Access Management, Configuration Management, Change Management, Ads revenue, Information Security, etc. • 3+ years of experience with code reviews and/or system designs and/or data analysis • Experience using JIRA, SharePoint, WIki Preferred Qualifications: • MS in MIS (Management Information Systems) or MBA • 9+ years of auditing or compliance experience in the tech industry • 9+ years of engineering compliance, systems audit / compliance, IT SOX, in the tech industry • Proven experience setting up and managing end to end compliance programs including scoping, executing, remediations, reporting • Experience with SOX / internal metrics systems especially engineering / in-house systems, system flow related to internal metrics or quote to cash • Experience with and understanding of compliance frameworks, controls, and best practices including but not limited to SSAE 16 - SOC 1 & 2, PCI, ISO, GDPR, etc. • Excellent grasp of risk management and technology compliance requirements • Demonstrated experience with independently leading projects to completion with high quality • Experience with open source compliance and online advertising industries (B2C and B2B) • Detail-oriented, analytical, tech-savvy, and can navigate through tools, systems, and platforms • Project management, teamwork, interpersonal, verbal, and written communication skills, attention to detail, and ability to communicate with all levels of management • Self starter, Motivated and proactive with strong organizational and project management skills to multitask, thrive, and succeed in a fast-paced environment • Certifications in one or more of the following areas: CISSP, CISA Suggested Skills: • IT / Systems Technology Compliance & Audit • Technology Risk Assessment • Regulatory Assessment for companies • Tech: Java, SQL, Hadoop, Azure, Kubernetes • Tools: JIRA, SharePoint, Confluence / Wiki LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $134,000-221,000. 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 around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. It is expected that this person understands experimentation and/or machine learning techniques to be able to implement from scratch and have the ability to extend and enhance these techniques to specific applications like business problems. Successful candidates will exhibit technical acumen on inference and algorithms, and the business savviness to use these technical skills to drive better business decision-making. Responsibilities • Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them. • Analyze large-scale structured and unstructured data. • Conduct in-depth and rigorous causal analysis and develop causal methodology and machine learning models to drive member value and customer success. • Develop methodologies to enhance LinkedIn's product and platform capabilities. • Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights. • Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn. • Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena. • Initiate and drive projects to completion independently. • Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals. • Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company. • Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews. Basic Qualifications: • Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. • 5+ years of industry or relevant academia experience • Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl) • Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) Preferred Qualifications: • 7+ years of industry or relevant academia experience • MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. Suggested Skills • Machine Learning • Research • Causal Inference 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 $164,000 - $268,000. 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 was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing 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 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 LinkedIn is looking for a Technical Fellow with expertise in AI to provide thought leadership for engineering organizations. As an AI Technical Fellow at LinkedIn, you will architect and lead the next generation of AI solutions that powers everything LinkedIn does. From consumer to enterprise, from search to recommendation, from optimization to building knowledge graph, LinkedIn relies on innovative AI research and applications that you will help us build. As a key leader in the organization you will lead research, design algorithms, build software, anticipate and influence the state of the art in the industry, and leverage and create open source software in the process. Responsibilities: Lead research in advanced AI, majorly focusing on mid/long-term research topics Envision and develop an AI research agenda that (1) is consistent with LinkedIn's overall strategy; (2) supports a large pipeline of opportunities for which these technologies are critical; (3) addresses major and emerging AI challenges and advances the state of the art Provide senior technical direction to working teams and inspire a larger community from across engineering working on AI. Publish, present, and contribute as a thought leader in the field of AI. Be a talent magnet for LinkedIn. Advise LinkedIn executives on a broad range of technology, strategy, and policy issues associated with AI. Not just develop evidence of the validity and utility of research projects (e.g. through MVP or prototypes), but equally drive and work with relevant engineering teams to design and build the AI components that deliver value to members and customers. Identify problems and opportunities and lead teams to research, architect, design and operationalize AI solutions. Be part of the Data/AI Leadership team contributing to the overall strategy & roadmap considerations Evangelize and inspire best practices across a large AI engineering surface area Establish a culture that values diverse viewpoints while navigating complex decisions Lead by example to build a culture of craftsmanship and innovation. Provide mentorship to our AI talent across the team to help them grow technically and professionally. Assume hands-on leadership, especially when helping teams resolve complex problems Basic Qualifications: PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience 10+ years of relevant work or academic experience Experience leading technical research projects with multiple stakeholders Preferred Qualifications: 15+ years of experience in research and design of AI solutions with at least 5 of those years in a technical or scientific leadership position Experience in designing and implementing large scale AI platforms. Experience in leading large scale AI development projects from concept to multiple releases in production Familiarity with multiple open source machine learning frameworks (pytorch, tensorflow, onnx etc.), and languages (C++, Python, etc.) Experience leading high-impact, cross-company initiatives Established track record of excellence in relevant research areas Suggested Skills: Mentoring Technical Leadership Machine learning LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $260,000 to $480,500. 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 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. We are seeking an experienced and strategic Director of Traffic Engineering to lead and optimize our global traffic management, DNS, and routing platform initiatives. This role is critical for ensuring high availability, performance, and scalability of our traffic routing systems across a global infrastructure. The ideal candidate will have in-depth expertise in DNS, traffic engineering, and routing platforms, along with hands-on experience working with technologies like Azure Front Door (AFD), Cloudflare, IPVS, Apache Traffic Server (ATS), HAProxy, and various proxy systems. 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. Key Responsibilities: Define, develop, and execute a comprehensive traffic engineering strategy that supports the scalability and resiliency of our global platform. Drive continuous improvement in performance, reliability, and availability for DNS, traffic routing, and load balancing systems. Collaborate closely with product, engineering, and infrastructure teams to align traffic engineering strategies with business objectives. Oversee the architecture and optimization of traffic routing and DNS systems, including Azure Front Door (AFD), Cloudflare, and custom DNS configurations. Manage and enhance DNS resolution and traffic routing policies to achieve high performance, low latency, and optimal path selection for end users. Lead the deployment and management of geographically distributed traffic management systems to improve load balancing and failover capabilities. Direct the design, deployment, and maintenance of IPVS, Apache Traffic Server (ATS), HAProxy, and other traffic routing platforms to optimize global traffic flow. Implement and monitor proxy systems using Cloudflare and Azure Front Door, ensuring smooth traffic distribution, load balancing, and fault tolerance. Establish robust incident management and troubleshooting processes to address routing, latency, and availability issues in real time. Establish and track key performance metrics, SLAs, and SLOs for DNS and traffic routing systems, proactively identifying areas for improvement. Apply network traffic analysis and telemetry data to optimize load balancing, manage traffic spikes, and anticipate future demands. Drive initiatives for automation, observability, and fault tolerance, with a focus on minimizing downtime and improving MTTR. Lead and mentor a team of traffic engineers, fostering a culture of innovation, accountability, and technical excellence. Work closely with network engineers, SREs, and security teams to ensure a cohesive and secure traffic engineering infrastructure. Stay informed about industry trends and emerging technologies in traffic engineering, DNS, and routing, bringing new insights to the organization. Basic Qualifications: Bachelor's degree in Network Engineering, Computer Science, Electrical Engineering, or a related field. 12+ years of experience in network engineering. Minimum of 8 years in a leadership role 5+ experience managing large-scale, global networks with a focus on performance, availability, and scalability. Experience in networking technologies, protocols (e.g., BGP, OSPF, MPLS), traffic engineering, and load balancing. Hands-on experience with edge networks, CDNs, cloud networking, and SDN (Software Defined Networking). Strong project management skills, with the ability to drive complex projects and meet deadlines in a fast-paced environment. Experience with vendor management, contract negotiations, and managing relationships with global suppliers. Preferred Qualifications: Experience in large-scale cloud or web-scale companies. Familiarity with AI-driven networking technologies and the impact of AI workloads on network performance. Knowledge of data center operations and hardware systems. “Suggested Skills” - Exceptional leadership skills and experience managing large scale global networks -Strong problem-solving and decision-making skills, - Excellent communication and collaboration skills 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 an 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's vision is to create economic opportunities for every member of the global workforce. It was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. 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. 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. As a Distinguished Engineer at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn's content products - from feed to videos to news- by employing the latest techniques - from reinforcement learning to generative AI to large-scale deep learning models. You will design strategies for holistic optimization of LinkedIn's ecosystem across all consumer product surfaces to create a cohesive, highly personalized experience for our members. LinkedIn relies on innovative AI research and applications that you will help us build. As a key leader in the organization, you will lead research, design algorithms, build software, anticipate and influence the state of the art in the industry, and leverage and create open-source software in the process. Qualifications Basic Qualifications: PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience 10+ years of relevant work experience Experience leading technical projects with multiple stakeholders Preferred Qualifications: 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: * Mentoring * 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 $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 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. 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 around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. LinkedIn's Jobs Marketplace is a complex ecosystem that requires a thorough understanding of demand and supply dynamics. As we shift towards building AI-first products, there is a greater need for dedicated DS partnerships to provide system-level insights, measurement, and tools that accelerate AI iterations and advancement. Jobs Marketplace System Insights team is formed in 2023 with the goal to build deeper understanding, create scalable tools, advance in measurement both online and offline of our core jobs marketplace AI systems. This individual will lead the team on: 1. Enhance system understanding and operational excellence through AI explainability and interpretability. 2. Boost job seeker engagement and revenue by identifying gaps and opportunities in our AI system. 3. Improve AI systems and business metrics that align with customer, seeker, and LinkedIn value. 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 act as a champion for a data-driven culture, evangelizing best practices both with LinkedIn and among the local and global data science community. • You are expected to drive meetings and lead discussions with technical as well as business/PM audiences. • You will be required to craft compelling stories and make logical recommendations based on thorough understanding of data and predictive models created on top of that. • You will guide architecture, data models, and engineering best practices for this area as well as broader Data Science and Data as required. Basic Qualifications: • BS (or higher, e.g., MS, or PhD) in a technical or quantitative field - Computer Science, Operational Research, Statistics, Economics, or related fields • 5+ years of industry experience • 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training Preferred Qualifications: • 8+ years of relevant work experience • Experience with building a strong DS team, helping team members realize their full potential, and influencing the team culture • Strong sense of ownership and intellectual curiosity • Ability to translate high-level business objectives into actions • Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives • Track record of solving complex data science problems • Expertise in applied statistics in at least one statistical software package Suggested Skills: • Executive presence • Communication • 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 $138,000 - $226,000. 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: ***************************************

Pinterest is hiring a Director, Platform Technology Audit for our Internal Audit (IA) team. This role will act as a key player in advising and helping manage a diverse set of organizational risks while designing and developing the IA team for the future. This role will also gain exposure to senior leaders across the organization including interacting with our Audit Committee while delving into risk areas including but not limited to advising/auditing Information Security, Data Privacy, and our system infrastructure. What you'll do: Drive Platform IT risk management conversations with the Pinterest Audit Committee and the Pinterest Senior Executive Team Establish and own relationships with key Engineering and Product partners as their strategic risk advisor on establishing internal controls and process efficiencies, providing insight and direction on risk management Build and lead a team of risk and control professionals (both internal and external resources) who possess the knowledge and technical capability to drive value-based audits Implement a risk assessment process by developing and owning the annual internal audit plan for relevant Engineering systems and processes Serve as "go-to" person for technology risk and controls within the organization and be an insightful resource for strategizing on implementing controls in an efficient and effective manner while balancing the pace and velocity of the organization Recommend controls to be implemented as part of new project launches and collaborate with teams on controls implementation Lead and manage risk-based Platform IT risk assessments, integrated audits and/or process reviews including but not limited to cyber security, privacy and infrastructure internal audits Continuously help improve the company's ability to mitigate risks and develop recommendations on how to integrate controls as part of daily operations Partner with the EP organization and contribute meaningfully to the company's evolution to a common controls framework What we're looking for: Minimum of 10+ years of experience, preferably with a mix of external audit/consulting and in-house internal audit experience within a publicly traded companies Bachelor/Masters degree in a relevant field such as computer science, management information systems, software engineering, or equivalent experience Experience with regulators and external auditor requirements and expectations Deep knowledge of technology environments/controls including both 3rd party and home-grown systems Mission-driven, enthusiastic to learn and grow; team-oriented with a positive attitude and able to work in hyper-growth, fast paced environment Ability to work collaboratively, present to people at all levels of the organization, make actionable recommendations and use influence to ensure execution Strong risk management experience, including: performing assessments and audits, driving issue impact discussions, and the ability to think strategically about remediation strategies Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-AM9

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. We are looking for Artificial Intelligence interns to work on our massive semi-structured text, graph and user activity data sets. LinkedIn is seeking PhD interns to join our AI/ML team with a focus on Reinforcement Learning (RL). As a member of our team, you will develop cutting-edge RL algorithms and apply them to real-world problems, from optimizing user interactions to creating adaptive and personalized systems across LinkedIn's platform. This internship offers a unique opportunity to push the boundaries of RL research while making an impact on millions of users Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2025 or later. 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 internship roles will be based in Mountain View, CA; or other US office locations. Our internships are 12 weeks in length and will have the option of two intern sessions: • May 27th, 2025 - August 15th, 2025 • June 16th, 2025 - September 5th, 2025 Responsibilities: • Conduct research and development on state-of-the-art reinforcement learning algorithms, including deep RL, multi-agent systems, and model-based RL. • Apply RL techniques to enhance personalization, recommendation systems, and other large- scale LinkedIn products, focusing on long-term engagement and optimization. • Develop scalable RL models that balance exploration-exploitation and adapt to changing environments. • Collaborate with product and engineering teams to integrate RL solutions into production. • Stay up to date with the latest advancements in RL and machine learning, contributing to leading conferences and publications. • Work in a highly collaborative environment with mentors, business experts and technologists to conduct independent research and help deliver intuitive solutions to our products and services Basic Qualifications: • Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship • Research background in RL, including algorithms like Q-learning, policy gradients, actor-critic methods, or Monte Carlo methods. • Python and RL libraries (e.g., TensorFlow Agents, Ray RLlib). • Understanding of deep learning architectures applied to RL, including convolutional and recurrent neural networks Preferred Qualifications: • Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R • Experience or desire to learn Hadoop, Pig, or other MapReduce paradigms • Proven experience applying RL to real-world applications, particularly in recommendation systems or large-scale personalization. • Experience with multi-agent reinforcement learning or hierarchical RL. • Publication record in RL or ML conferences (e.g., NeurIPS, ICML, ICLR). • Hands-on experience deploying RL models in production. • Excellent communication skills Suggested Skills: • Machine Learning and Deep Learning • Advanced Data Mining • Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 - $70 per hour. 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: ***************************************

Are you passionate about building impactful products for revenue teams? Come join the IT Enterprise Systems team at Pinterest where you will have the responsibility for creating the future to evolve our technology stack for revenue. What you'll do: Work with a team of talented system engineers and analysts to build systems to support scaling our revenue function. Evolve our architecture and design solutions to address the growth needs of the business. You possess a mix of technical strength, business strength, and the ability to navigate stakeholders across different business areas and have experience building cross-functional relationships across engineering and business peers to ensure objectives are well defined and clearly understood. You will partner with the strategic product leader and systems manager to develop a detailed product roadmap and execute on the roadmap. You will evaluate the current state of our solutions, develop and identify opportunities to drive efficiencies and continuous improvement. You will build and maintain strong working relationships with various internal stakeholder groups, including IT, Accounting, Revenue, and Monetization product teams. What we're looking for: Bachelor's or master's degree in computer science, Engineering or a related field; or equivalent combination of education and experience Minimum of 10 years systems engineering experience with minimum 5+ years with increasing responsibility in a global organization. Strong understanding of core accounting and revenue processes - journal processing, consolidation, cash management, revenue management lifecycle ( including invoicing, cash application, revenue recognition etc.). Ad industry experience is preferred. Oracle EBS (E-Business Suite) implementation experience in distribution and revenue models and experience building custom solutions is required. Experience with Oracle Fusion Cloud is a plus. Excellent communication, collaboration and leadership skills, with the ability to navigate cross-cultural and cross-functional environments Nimble to deliver for stakeholders: You know how to navigate hurdles and stay focused on great customer experience and scalability. Proficiency in understanding business challenges, developing perspective and shared understanding with the business, working with technical teams focused on delivering timely solutions. Strong understanding of SOX controls, processes and procedures. Strong understanding of Agile principles and methodologies Outcome oriented: You focus on delivering outcomes compared to outputs by leveraging technology to positively impact key business performance metrics Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-DM57