Found Description
Drive innovation in transportation solutions as a Machine Learning Engineer at Lyft Business. Focus on designing, developing, and deploying ML systems that impact pricing and fraud detection.
This high-scope role empowers you to traverse multiple domains within Lyft Business. You will build advanced ML models, collaborate with Data Scientists, and enhance both rider and partner experiences. Be ready for a dynamic work environment where every contribution shapes large-scale business outcomes.
Key Responsibilities:
• Develop ML models for dynamic pricing and fraud detection
• Automate decision-making with agentic AI systems
• Design training workflows and feature pipelines
• Collaborate with Data Scientists on research prototypes
• Evaluate model performance using business KPIs
Requirements:
• Experience with GenAI / LLM ecosystems
• Familiarity with graph-based ML methods
• Background in pricing and marketplace ML issues
• Proficiency in cloud ML serv...
This high-scope role empowers you to traverse multiple domains within Lyft Business. You will build advanced ML models, collaborate with Data Scientists, and enhance both rider and partner experiences. Be ready for a dynamic work environment where every contribution shapes large-scale business outcomes.
Key Responsibilities:
• Develop ML models for dynamic pricing and fraud detection
• Automate decision-making with agentic AI systems
• Design training workflows and feature pipelines
• Collaborate with Data Scientists on research prototypes
• Evaluate model performance using business KPIs
Requirements:
• Experience with GenAI / LLM ecosystems
• Familiarity with graph-based ML methods
• Background in pricing and marketplace ML issues
• Proficiency in cloud ML serv...
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