Machine Learning Engineer
Core
Design, build, and deploy ML systems across Lyft Business to solve problems in pricing, marketplace optimization, fraud detection, and agentic AI.
Role type
Senior IC Machine Learning Engineer
Builds
Production ML models and agentic AI systems for B2B transportation solutions (Business Travel, Lyft Pass, Concierge)
Domain
Transportation / B2B SaaS / Applied AI
Deliverable
production ML models
Required skills
GenAI/LLM ecosystems (prompt engineering, RAG, agent frameworks), graph-based ML methods, pricing/marketplace/fraud ML, cloud ML services, independent project scoping
Preferred skills
Experience with LangChain/LangGraph, fine-tuning, knowledge graphs
Technologies
LangChain, LangGraph, AWS SageMaker, Bedrock
Responsibilities
Develop and deploy ML models for dynamic pricing, marketplace optimization, fraud detection, and anomaly detection; Build and iterate on agentic AI systems; Design and implement feature pipelines and serving infrastructure; Partner with Data Scientists to scale research prototypes; Evaluate ML system performance against business KPIs; Identify new ML opportunities across Lyft Business verticals; Contribute to team engineering standards
Seniority
Senior, hands-on IC