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At a glance
AI generatedAs a Senior ML Engineer on Lyft’s Mapping team, you will collaborate with cross-functional teams to develop and enhance systems that detect environmental changes and update the Lyft map using diverse data sources. Your day-to-day responsibilities include analyzing data, building proof-of-concept models, developing production-quality code for large-scale machine learning deployments, and evaluating these systems against business goals. The role requires expertise in Python or Golang, a strong background in machine learning methodologies such as supervised learning and reinforcement learning, and the ability to work on complex projects that involve massive datasets and real-time processing. This position offers an opportunity to contribute to a cutting-edge mapping solution that impacts millions of users daily, competing with established players in the industry.
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How this pay compares to similar roles
This role pays more than 57% of similar roles. Most pay $143,930–$213,656 — the shaded band above. At the midpoint, this role pays about $183k versus about $179k for comparable roles.
Based on 240 similar postings.
Employer
Lyft is a transportation network company offering ride-hailing services across the US and Canada.
Lyft currently has 31 open roles on FindRole.
Listed pay typically runs $148,000–$185,000 across 31 roles with salary data.
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