2 months ago
Responsibilities
- Develop and deploy ML models for dynamic pricing, marketplace optimization, fraud detection, and anomaly or behavior detection in production environments serving millions of rides.
- Build and iterate on agentic AI systems, including LLM-powered analytical agents, to 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 move 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 and scope ML opportunities across Lyft Business verticals and pitch solutions.
- Contribute to engineering standards for code quality, observability, documentation, and testing.
Requirements
- Experience with GenAI and LLM ecosystems, including prompt engineering, RAG, agent frameworks such as LangChain or LangGraph, or fine-tuning.
- Exposure to graph-based ML methods, including graph neural networks, knowledge graphs, or network analysis.
- Experience with pricing, marketplace, or fraud-related ML problems.
- Familiarity with cloud ML services such as AWS SageMaker and Bedrock or internal ML platforms.
- Ability to independently identify and scope ML projects rather than only execute predefined specifications.
Benefits
- Extended health and dental coverage, life insurance, disability benefits, and mental health benefits.
- Family building, child care, pet, and Health Care Savings Account benefits.
- RRSP plan with company match.
- Flexible paid time off for salaried team members; hourly team members receive 15 days paid time off plus an additional day per year of service.
- 18 weeks of paid parental leave for biological, adoptive, and foster parents.
- Subsidized commuter benefits and Lyft ride credits.
- Hybrid in-office schedule requiring at least three days per week, including Mondays, Wednesdays, and Thursdays, with flexibility to work from anywhere for up to four weeks per year.
Tech Stack
Categories
About Lyft
Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.