AI Tech Lead Manager

Company DescriptionLinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.Join us to transform the way the world works.Job DescriptionAt LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This job is based in Sunnyvale, CA. Topicality AI is at the heart of LinkedIn’s Knowledge Marketplace making professional knowledge approachable and relevant for every member through unconnected content recommendation. We help professionals discover high-quality insights beyond their immediate network and creators build lasting professional influence.Our mission is simple but ambitious: bring high-quality knowledge content to the right members at the right moment—at Feed scale.As part of the Topicality AI team, you will work end to end across the content recommendation lifecycle:Understand and model content quality with agentic LLMs guided by human feedbackMatch content to members by revolutionizing retrieval and ranking systems with state-of-the-art generative modelsDecide where and when content appears across LinkedIn’s Feed and surfaces to maximize member valueWhat makes this team unique is ownership. We do both innovative research and production engineering—taking ideas from early product intuition all the way through modeling, production deployment, and live member impact. You’ll see your work ship quickly, receive real-time member feedback, and do research that directly influences how millions of people’s Feed experiences are shaped every day.Join us as we revolutionize unconnected content discovery and distribution at LinkedIn!QualificationsBasic Qualifications:BA/BS in Computer Science or other technical discipline, or related practical technical experience5+ years of related industry experience in Machine Learning, development, and algorithm related solutions1+ year(s) of management experience leading a AI/ML engineering team, or 1+ year(s) of Staff level AI/ML engineering experience with management trainingHands on experience in data modeling and machine learningPreferred Qualifications: MS or PhD in Computer Science, Machine Learning, Statistics or related fields2+ years of experience in Machine Learning Engineering management and people managementExperience driving impact with Generative AI products and Search and Recommendation systems7+ years of hands on experience in data modeling and machine learningSuggested Skills:Large-scale AI problem solvingTechnical backgroundStrategic thinkingMachine Learning, Big Data and Deep LearningLeadershipMachine LearningAI EngineeringYou will Benefit from our Culture:We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.Compensation:LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 - $277,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: InformationEqual Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: 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 youHaving interviews in an accessible locationBeing accompanied by a service dogHaving a sign language interpreter present for the interviewA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.San Francisco Fair Chance Ordinance ​Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.Pay Transparency Policy Statement ​As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: Full-timeFunction: EngineeringExperience level: Mid-Senior LevelIndustry: Internet