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LinkedIn 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.

Team Overview:

The Premium AI teams work on products at LinkedIn which impact millions of members on the platform. On the Premium AI team, you will be working on exciting products and features related to enabling individuals and small businesses who are looking to optimize their leverage of LinkedIn. Technical work includes Deep Learning, Natural Language Processing (NLP), Generative AI (GAI), Semantic Search, Large Language Models (LLMs), and multi-task learning. This team works closely with other AI teams across LinkedIn.

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:

• Directly lead a team of 7-8 Engineers, including Senior and Staff (Technical Lead) Engineers.

• Collaborate cross-functionally with Applications Engineers, Product, Infrastructure, and foundational teams to align on initiatives.

• Participate in key technical and design discussions with technical leads in the team.

• Define and leverage best practices for engineering and research to ensure optimal productivity and drive faster iterations.

• Attract world class talent and provide technical guidance, career development, and mentoring to team members.

• Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments.

Basic Qualifications:

• 5+ years of related industry experience in Machine Learning, development, and algorithm related solutions

• BA/BS in Computer Science or other technical discipline, or related practical technical experience

• 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 training

Preferred Qualifications: 

• 2+ years of experience in a leadership role within the AI or Machine Learning domain, including at least one year of direct people leadership.

• 7+ years of industry experience in AI, Machine Learning, or related disciplines.

• MS or PhD in Computer Science, Machine Learning, Statistics or related fields

• Experience building customer-facing AI solutions.

Suggested Skills:

• Team Management

• Semantic Search

• Deep Learning

• AI Models (LLMs)

• Technical Leadership

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 $170,000 - $277,000. 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

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 at [email protected] 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.

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: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates ​

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.