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San Francisco, California, United States
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Salary not disclosed
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Role overview
Job description
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Rider Recommendations team is an Applied AI and Machine Learning team tasked with personalizing all realtime decisions happening inside the Rider Apps, including search, ride modes, content selection and ranking, message generation and others. Since last year, this team has been one of the major contributors to financial outcomes at Lyft and, working closely with the Rider App team, they are in the process of evolving the Rider application to make more room for personalization and realtime decision making. The team operates as the orchestration layer behind everything that the rider sees, being the final decision maker on what to show. You will work closely with machine learning, AI engineers and data scientists to de
…About this listing
- Source: Lyft's official careers site (via Greenhouse) · last confirmed on the source 27 Oct 2026
- Posted 26 Oct 2026
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What they are looking for
Skills & requirements
Qualification
All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law; We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law
Department · Rider App
Hiring company
Lyft
Technology
Wherever you’re headed, count on Lyft for rides in minutes. The Lyft app matches you with local drivers at the tap of a button. Just request and go. Ride by ride, we’re changing the way our world works. We imagine a world where cities feel small again. Where transportation and tech bring people together, instead of apart. We see the future as community-driven — and it starts with you.
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