Machine Learning Engineer, Lyft Business & Ads

Lyft is seeking a Machine Learning Engineer to work on ML systems across Lyft Business, including pricing, fraud detection, and agentic AI. This role involves developing and deploying ML models in production, collaborating with cross-functional teams, and contributing to engineering standards. The ideal candidate has experience with GenAI/LLM ecosystems, graph-based ML, and a track record of independent project scoping.

• Develop and deploy ML models across multiple problem domains (dynamic pricing, marketplace optimization, fraud detection, anomaly/behavior detection) in production environments serving millions of rides.
• Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents) that automate decision-making and reduce operational overhead.
• Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform.
• Partner with Data Scientists to take research prototypes from proof-of-concept to production at scale.
• Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement.
• Identify new opportunities where ML can create leverage across Lyft Business verticals and pitch solutions.
• Contribute to team engineering standards — code quality, observability, documentation, and testing practices.