Lyft is actively hiring for 7 AI and machine learning positions across Data Scientist (4), AI/ML Engineer (2), and MLOps Engineer (1) roles. Posted salary ranges span $170K - $185K, with 100% of listings disclosing compensation. The median posted ceiling sits at $185K. Positions are based in New York, NY, US, San Francisco, CA, US, Seattle, WA, US. The most frequently requested skills across these postings are Python, RAG, AI Agents, Go, Rust. Senior-level roles account for 71% of openings.
Skills & Technologies
Python (7)RAG (6)AI Agents (2)Go (2)Rust (2)
Locations
New York, NY, US, San Francisco, CA, US, Seattle, WA, US
Hiring by Role Category
Open Positions (7)
AI/ML Engineer
ML Software Engineer, Integrity
AI/ML Engineer
ML Software Engineer, Integrity
MLOps Engineer
Senior Software Engineer, Central Market Management & AI
Data Scientist
Senior Data Scientist, Algorithms - Fulfillment
Data Scientist
Senior Data Scientist, Algorithms - Fulfillment
Frequently Asked Questions
Lyft currently has 7 open AI positions across roles including AI/ML Engineer, MLOps Engineer, Data Scientist. The most common positions involve applied machine learning, model development, and AI infrastructure. Check the job listings above for the latest openings and requirements.
AI roles at Lyft range from $170K - $185K based on current job postings. Compensation varies by role type, seniority, and location. Senior and staff-level positions typically fall at the upper end of this range, while mid-level roles cluster near the median. These figures reflect posted salary ranges and may not include equity, bonuses, or signing packages.
The most frequently requested skills in Lyft's AI job postings are Python, RAG, AI Agents, Go, Rust. Python appears in the majority of listings, reflecting its dominance in the ML ecosystem. Candidates with experience in multiple skills from this list are more competitive, as most roles require a combination of programming, framework, and domain expertise.
Lyft's AI positions are based in New York, NY, US, San Francisco, CA, US, Seattle, WA, US. Location requirements vary by team and role. Some positions may offer hybrid arrangements even if listed as on-site. Check individual job listings for the most current location and remote work policies.
Related Resources
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