Machine Learning Engineer, Lyft Business

• Develop and deploy ML models across multiple problem domains - including dynamic pricing, marketplace optimization, fraud detection, and 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 on the Algorithms and Decisions teams 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 (Healthcare, Lyft Pass, Business Travel) and pitch solutions
• Contribute to team engineering standards - code quality, observability, documentation, and testing practices

• Experience with GenAI / LLM ecosystems - prompt engineering, RAG, agent frameworks (e.g., LangChain, LangGraph), or fine-tuning
• Exposure to graph-based ML methods (graph neural networks, knowledge graphs, network analysis)
• Experience with pricing, marketplace, or fraud-related ML problems
• Familiarity with cloud ML services (AWS SageMaker, Bedrock) or internal ML platforms
• Track record of identifying and scoping ML projects independently, not just executing on pre-defined specs

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Machine Learning is at the heart of Lyft's products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world's best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most-employees, customers, patients, and guests-easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs.