Machine Learning Engineer

📋 Description

• Deploy ML models across pricing, marketplace, fraud, and behavior detection in production
• Build agentic AI systems (LLM-powered) to automate decisions and reduce overhead
• Design feature pipelines, training workflows, and serving infra on Lyft's ML platform
• Collaborate with Data Scientists to move research prototypes to production at scale
• Evaluate ML performance against KPIs, run experiments, drive improvements
• Identify ML opportunities across Lyft Business verticals and pitch solutions

🎯 Requirements

• GenAI/LLM experience: prompt engineering, RAG, or agent frameworks (LangChain/LangGraph)
• Graph ML: graph neural nets, knowledge graphs, or network analysis
• Pricing, marketplace, or fraud ML experience
• Cloud ML services (AWS SageMaker/Bedrock) or internal platforms
• Proven ability to independently scope ML projects

🎁 Benefits

• Extended health and dental coverage with life and disability insurance
• Mental health benefits
• Family building benefits and parental leave
• Child care and pet benefits
• Lyft-funded Health Care Savings Account
• RRSP plan with company match