Machine Learning Engineer, Lyft Business

📋 Description

• Develop and deploy ML models across pricing, fraud, and behavior domains.
• Build and iterate agentic AI systems to automate decisions.
• Design feature pipelines, training workflows, and serving infra.
• Collaborate with Data Scientists to productionize prototypes.
• Evaluate ML system performance against KPIs and run experiments.
• Identify new ML opportunities across Lyft Business verticals.

🎯 Requirements

• GenAI/LLM ecosystems: prompt engineering, RAG, LangChain/LangGraph
• Graph-based ML: GNNs, knowledge graphs, network analysis
• Pricing, marketplace, or fraud ML problems
• Cloud ML services: AWS SageMaker/Bedrock or internal platforms
• Independent scoping and identification of ML projects

🎁 Benefits

• Medical, dental, and vision insurance
• Mental health benefits
• 401(k) with company match
• Paid time off: holidays and PTO
• 18 weeks parental leave
• Commuter benefits and Lyft credits