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AI Engineering Manager, GenAI Safety

Company Overview:

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

Team Overview:

We are seeking an AI Engineering Manager to lead our LLM Safety team, which sits in the critical path of ensuring AI Safety of all LinkedIn’s GenAI product launches.

This role is ideal for a visionary leader passionate about leveraging AI to empower millions while ensuring safety and trust in GenAI products.

Location:

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

This role will be based in Sunnyvale, CA.

Key Responsibilities:

Stay at the forefront of AI safety advancements, influencing the company’s thought leadership in Responsible AI and LLM Safety.Lead and inspire a team of talented AI research engineers, in partnership with a strong Tech Lead.Drive the strategy, research, and development of innovative solutions to assess and manage the safety and reliability of all GenAI products.Define and execute a robust roadmap for LLM safety, addressing challenges in fairness, bias mitigation, hallucinations, and robustness.Work with internal and external vendors for high quality and scaled data labeling needs.Collaborate cross-functionally with Product, Legal, and Policy teams to drive LinkedIn’s safety standards and compliance against them.Enhance LinkedIn’s GenAI platform to provide scaled and easy to use capabilities to perform red-teaming of GenAI products. Partner with the governance team to provide a smooth experience for model developers.Foster a culture of innovation, continuous learning, and operational excellence.Manage team growth, career development, and performance to build a high-performing, engaged team.

Basic Qualifications:

1+ year(s) of management experience leading a AI/ML engineering team, or 1+ year(s) of Staff level AI/ML engineering experience with management training5+ years of related industry experience in Machine Learning, development, and algorithm related solutionsBA/BS in Computer Science or other technical discipline, or related practical technical experienceHands on experience in data modeling and machine learning

Preferred Qualifications:

3+ year proven experience leading high-performing AI or ML teams in fast-paced environments.8+ years of overall professional experience. Demonstrated expertise in LLMs, agentic systems, GenAI, and AI safety challenges.MS or PhD in Computer Science, Machine Learning, Statistics or related fieldsExceptional strategic thinking, technical communication, and people leadership skills.

Suggested Skills:

Responsible AI (Trust, Safety, etc.) Technical Leadership GenAI

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

Compensation Disclosure:

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $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 https://careers.linkedin.com/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: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf 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: https://lnkd.in/paytransparency.

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: https://lnkd.in/GlobalDataPrivacyNotice