Company Description

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: 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