Location
toronto
Job Type
Full-time
Posted
July 13, 2026
Job Description
Elevate your career as a Machine Learning Engineer at Lyft in Toronto, harnessing ML to drive business innovations. Work in a hybrid model while tackling diverse challenges across pricing algorithms and fraud detection.
Lyft is searching for a versatile Machine Learning Engineer to design, build, and deploy informative ML systems within Lyft Business. This high-scope role involves collaborating with Data Scientists and Product Managers, directly affecting revenue, rider experience, and partner trust. Expect to navigate diverse ML applications including dynamic pricing and agentic AI systems, as well as produce scalable solutions with production-quality code.
Key Responsibilities:
• Develop and deploy ML models for various problem domains
• Build and iterate on agentic AI systems for automation
• Design feature pipelines and model training workflows
• Collaborate with teams to scale research prototypes
• Evaluate ML systems against business KPIs for improvement
R...
Lyft is searching for a versatile Machine Learning Engineer to design, build, and deploy informative ML systems within Lyft Business. This high-scope role involves collaborating with Data Scientists and Product Managers, directly affecting revenue, rider experience, and partner trust. Expect to navigate diverse ML applications including dynamic pricing and agentic AI systems, as well as produce scalable solutions with production-quality code.
Key Responsibilities:
• Develop and deploy ML models for various problem domains
• Build and iterate on agentic AI systems for automation
• Design feature pipelines and model training workflows
• Collaborate with teams to scale research prototypes
• Evaluate ML systems against business KPIs for improvement
R...