Senior Machine Learning Engineer
Adobe
At a glance
AI generatedAs a senior Machine Learning Engineer at Lyft, you will join a dynamic team tackling diverse challenges across transportation, economics, forecasting, mapping, safety, personalization, and adaptive control. Your role involves collaborating with cross-functional teams to develop and deploy machine learning models that enhance core services and products. Day-to-day responsibilities include data analysis, building proof-of-concept solutions, developing statistical and optimization models, writing production-quality code, and evaluating ML systems against business goals. The ideal candidate has 5+ years of experience in machine learning, proficiency in Python or Golang, a strong background in quantitative fields, and expertise in methodologies such as supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits.
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What you'll do
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Market check
How this pay compares to similar roles
This role pays less than 73% of similar roles. Most pay $178,012–$249,750 — the shaded band above. At the midpoint, this role pays about $183k versus about $214k 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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