AI/ML Engineering Manager - Feed AI

Engineering Manager, AI / ML - Feed AI Team (Sunnyvale, CA)

Company Overview :

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.

Team Overview :

LinkedIn’s Feed AI team’s 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 Learning to Rank, Explore / Exploit, Deep Learning and Reinforcement Learning, coupled with multi-objective optimization and supply demand analysis.

As an Engineering Manager at Feed Ecosystem 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, 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 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.

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
• Hire and develop top talent, building and scaling a world-class team of passionate engineers.

Basic Qualifications :

• 5+ years of industry experience including significant work in the field of machine learning
• Masters in Computer Science or related technical field or equivalent 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 :

• 10+ years of relevant work experience
• 2+ years of management experience
• PhD in Computer Science, Machine Learning, Statistics or related fields
• Expert in recommendation system, deep learning, knowledge graph, and natural language processing
• Experience developing large scale (enterprise grade) AI solutions and ML systems
• Track record of producing papers in conferences such as KDD, WWW, WSDM, and / or patenting innovations
Suggested Skills :
• Leadership
• Leadership
• Machine Learning
• AI Engineering

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 $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

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 : Please reference and for more information.

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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

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