Lyft02/18/2026
Старший инженер по машинному обучению, отдел картографии
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
The employer didn't disclose pay — compare with the market yourself.
San Francisco
Responsibilities
- 01Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact
- 02Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems
- 03Develop statistical, machine learning, or optimization models
- 04Write production quality code to launch machine learning models at scale
- 05Evaluate machine learning systems against business goal
Requirements
- 01B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
- 025+ years of Machine Learning experience
- 03Passion for building impactful machine learning models leveraging expertise in one or multiple fields
- 04Proficiency in Python, Golang, or other programming language
- 05Excellent communication skills and fluency in English
- 06Strong understanding of Machine Learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits
What we offer
- 01Great medical, dental, and vision insurance options with additional programs available when enrolled
- 02Mental health benefits
- 03Family building benefits
- 04Child care and pet benefits
- 05401(k) plan with company match to help save for your future
- 06In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 0718 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- 08Subsidized commuter benefits
- 09Monthly Lyft credits and complimentary Lyft Pink membership
- 10Expected base pay range for this position in the San Francisco area is $162,800 - $203,500
- 11This 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
- 12Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year