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About the Role:

The UberEats Feed is the front door to our platform. It helps our global users discover relevant merchants, explore merchandising offerings and it serves as a key visibility tool for merchants looking to grow their businesses.

We are looking for a strong technical leader with proven experience building large-scale production recommender systems. This leader will build and grow a team of Machine Learning Engineers that utilize cutting edge technologies to improve personalization and overall quality of the Feed.

What the Candidate Will Do:

• Grow, build and lead a set of Machine Learning Engineers that build models to improve personalization and overall quality of the Feed.

• Work closely with cross-functional partners to understand product/business context and incorporate them into planning.

• Set the technical vision and roadmap for the team balancing execution against product goals, investing in foundations and innovating using latest tools & techniques.

• Setup the right processes to ensure the team follows best Engineering practices.

Basic Qualifications:

• Ph.D. or M.S. degree in Machine Learning, Statistics, Computer Science or other related technical discipline.

• 2+ years of experience directly managing high-performing Machine Learning Engineering teams.

• High degree of ownership and bias towards action, with a focus on impact and results.

Preferred Qualifications:

• 5+ years experience / track-record of building machine learning, ranking or personalization systems.

• Strong product sense and experience with end-to-end ownership of product development.

• Demonstrated ability to make data-driven decisions using strong analytical skills, with a track record of leveraging insights to drive Engineering investment direction.

• Excellent communication and cross-functional collaboration skills.

• Strong people leadership skills including growing and mentoring team members.

• Keeps up to date with industry trends, latest research in ML/DL/RecSys, and be able to proactively make pragmatic choices on what to adapt in our systems.

For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform