Engineering Director - Responsible AI

Director of Engineering, Responsible AI

Company Description

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.

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.

Responsible AI (RAI) that includes Fairness, Privacy, and Explainability in Machine Learning is critical to LinkedIn. You will lead a team in charge of RAI, which builds AI technology used horizontally across teams at LinkedIn. Specifically, it is focused on designing and implementing techniques to mitigate bias of machine learning models, preserve data and model privacy in model training and serving, and enable explainability of predictions of models. This team closely partners with AI vertical teams, DS vertical teams, AI Foundation and Infrastructure platform teams across Engineering; as well as cross-functionally with teams like Product and Legal to ensure we’re developing AI responsibly across our entire product surface area, putting Members and Customers first.

Qualifications

Basic Qualifications

Minimum of 8 years of experience building machine learning/data mining technology with technology and business impact

MS in Computer Science or related engineering/science experience

Preferred Qualifications

PhD in Computer Science or related engineering/science experience

Solid understanding of fairness in machine learning, privacy in machine learning (e.g., privacy-preserving model training techniques), and model understanding (e.g., model explainability) approaches.

Five or more years managing/leading teams of 20+ individuals and/or managers

Good understanding of large-scale engineering systems and some or all of big data technologies like Hadoop, Spark, Machine Learning, distributed key-value stores, streaming processes, workflow scheduler, recommender systems, statistical methods, experimental design

Experience leading by example and inspiring teams to perform at a very high level, collaborating very well across functions/teams

High motivation and ability to convert ill-defined problems into well-defined problems, and to take initiative and encourage consensus building across the entire organization

Enthusiasm for solving interesting problems for real customers.

Publications at machine learning and related scientific conferences.

A proven track record of delivering end-to-end solutions for high QPS systems that require working with massive amounts of high frequency data

Strong leadership abilities in order to communicate and drive cross-functional efforts

Great relationship and people skills

Suggested Skills

• People Leadership
• Technical Leadership
• Machine learning domain

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 $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 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