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This listing was closed on Aug 10, 2026.
Browse Open JobsMachine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Lyft. in TORONTO, CA. Compensation shown: $88K–$110K (est.). Imported listing (source: dataaxy.com). Apply on the employer's site (dataaxy.com).
Imported listing (source: dataaxy.com) · Apply on dataaxy.com
TORONTO · CA
$88K–$110K (est.)
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from dataaxy.com
Lyft is seeking a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. The role involves working on pricing algorithms, fraud detection, agentic AI, and other ML applications. You will own models end-to-end and collaborate with cross-functional teams.
Responsibilities
- Develop and deploy ML models across multiple problem domains including dynamic pricing, marketplace optimization, fraud detection, and anomaly/behavior detection.
- Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents).
- Design and implement feature pipelines, model training workflows, and serving infrastructure.
- Partner with Data Scientists to take research prototypes to production.
- Evaluate ML system performance against business KPIs and run experiments.
- Identify new opportunities where ML can create leverage across Lyft Business verticals.
- Contribute to team engineering standards.
Requirements
- Experience with GenAI/LLM ecosystems including 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).
Lyft
San Francisco · US · 3913+ employees
Lyft is a ridesharing technology platform that connects drivers with passengers. The company has expanded its services to include bike-sharing and other transport-related technology solutions.
