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Senior Machine Learning Engineer, Recommendations

San Francisco Office💼 Full-time💰 $162,800–$162,800🗓 2026-05-27 → 2026-07-31

Core

Developing and launching algorithms that power Lyft's core services and impactful products, including transportation, economics, forecasting, mapping, safety, personalization, and adaptive control.

Role type

Senior Machine Learning Engineer (Recommendations & Core Platform)

Builds

Production ML systems for Lyft's marketplace and platform services

Domain

Transportation / Marketplace / Data Science

Deliverable

production ML models

Required skills

Machine Learning workflows, Python, Golang, supervised learning, forecasting, recommendation systems, reinforcement learning, multi-armed bandits, statistical modeling, optimization, production code deployment

Preferred skills

Experience in one or multiple fields (transportation, economics, forecasting, mapping, safety, personalization, adaptive control)

Technologies

Python, Golang

Responsibilities

Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact; Perform data analysis and build proof-of-concept to explore and propose ML solutions; Develop statistical, machine learning, or optimization models; Write production quality code to launch machine learning models at scale; Evaluate machine learning systems against business goals

Seniority

Senior, hands-on IC

Rewrite
## Responsibilities - Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact - Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems - Develop statistical, machine learning, or optimization models - Write production quality code to launch machine learning models at scale - Evaluate machine learning systems against business goal ## Requirements - B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience - 5+ years of Machine Learning experience - Passion for building impactful machine learning models leveraging expertise in one or multiple fields. - Proficiency in Python, Golang, or other programming language - Excellent communication skills and fluency in English - Strong understanding of Machine Learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits ## Nice to Have - N/A ## Benefits - Great medical, dental, and vision insurance options with additional programs available when enrolled - Mental health benefits - Family building benefits - Child care and pet benefits - 401(k) plan with company match to help save for your future - In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off - 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible - Subsidized commuter benefits - Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. 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. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $162,800 - $203,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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