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PythonJavaRedisMachine Learning
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Market pay estimate
$215,300–$276,000 / year for comparable Machine Learning Engineer roles in United States. Not employer-provided.
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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing petabyte-scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be relia
…About this listing
- Listed from Lyft's careers site via Greenhouse · last confirmed on the source 19 Oct 2026
- Posted 18 Aug 2026
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Role market pulse
How Machine Learning Engineer demand looks in United States
Live jobs
171
Posted 30d
62
30d movement
+17%
Remote share
36.8%
Salary listed
83%
Salary trend 1Y
Not enough history
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 · Fulfillment
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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