AI Engineering Manager, Feed AI

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:

On the Feed AI team, our mission is to help all our 1B+ members advance their careers through having conversations with a variety of professional communities on the Feed. We are achieving this through building a knowledge marketplace with high-quality content, and nurturing the knowledge flow from our knowledge creators to knowledge seekers.We leverage machine learning techniques like Large Language Models, Generative Recommenders, Explore/Exploit, Deep Learning and Reinforcement Learning, coupled with multi-objective optimization and supply demand analysis.

As an Engineering Manager at Feed AI, you will be jointly defining the vision/mission/strategy of Feed ecosystem along with Product and Data Science partners, chasing cutting-edge AI innovations with Foundation and Infra partners, and leading a group of machine learning engineers in tackling various ecosystem optimization and platformization problems.

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:

• Lead a team of ~10 machine learning engineers to deliver ecosystem-wide impact through LinkedIn newsfeed 
• Define data-driven product/technology strategic roadmap with product and data science partners
• Build scalable AI innovations with foundation and infra partners
• Grow/hire top talents and build a world-class team of passionate engineers.

Basic Qualifications:

• 1+ year(s) of experience leading a team of AI/ML engineers as a people manager, or 1+ year(s) as a Staff Engineer with completion of a formal management training program. 
• 5+ years of industry experience, including significant work in the field of AI and/or Machine Learning.
• BA/BS in Computer Science or other technical discipline, or related practical technical experience

Preferred Qualifications: 

• 10+ years of overall experience in AI engineering and/or leadership. 
• 2+ years of management experience, leading teams of 5-10+ engineers. 
• PhD in Computer Science, Machine Learning, Statistics or related field.
• Expert in recommendation system, LLM, knowledge graph, and natural language processing
• Experience developing large scale, enterprise grade solutions/systems
• Track record of producing papers in conferences such as KDD, WWW, WSDM, ... and patenting innovations

Suggested Skills:

• Large-scale AI Solutions 
• Technical Leadership
• Management 
• Critical Thinking 
   

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:

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 to $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.

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• 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.

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