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AI Engineering Manager, Anti-Abuse AI Modeling

Company Overview:

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.

Team Overview:

Serving more than 1 Billion members worldwide, the Anti-Abuse AI team's mission is to create safe, authentic, and transparent experiences so individuals and organizations can be productive and successful. As a Manager in the Account Abuse AI team, you will help achieve this mission by pivotally building out our next gen abuse modeling ecosystem to keep fake accounts and entities off LinkedIn, reducing harmful activities from fake accounts, and delivering a world-class enforcement experience.

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.

Responsibilities:

Manage the performance and career development of a team of engineers and own significant parts of LinkedIn products that require design architecture and coding. Coach the team to produce impactful solutions using machine learning at scale to improve trust in the LinkedIn ecosystem. Participate with senior management in developing a long-term strategic roadmap. Attract top talent and build a world-class team of passionate engineers. Engage in key technical and design discussions with technical leads in the team. Collaborate with anti-abuse infrastructure engineering, product, data science, and Trust & Safety teams for developing novel solutions to challenging problems in the fraud and abuse space at LinkedIn.

Basic Qualifications:

5+ years of professional experience, including significant work with AI algorithms, Machine Learning, LLMs, and/or related engineering disciplines. 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 trainingBachelor’s degree in Computer Science or related technical field or equivalent technical experience

Preferred Qualifications:

8+ years of overall experience. MS or PhD in Computer Science, Artificial Intelligence, or a related discipline. Good understanding of enterprise grade architecture and solutions/technologies related to Machine Learning, distributed key-value stores, streaming processes, workflow scheduler, recommender systems, statistical methods, and experimental design.Ability to lead by example and inspire the team to perform at a very high level, and collaborate very well across different teams.Highly motivated and has the ability to convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across the entire organization.

Suggested Skills:

Technical Leadership Trust / Safety / Responsible AI Domain Knowledge AI Engineering Foundational Modeling

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

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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