ML Engineer: Safety & Customer Care AI (Hybrid)

Lyft; Toronto; Hybrid; CAD 119,000 - 149,000; Full time

Benefits offered by this job

Extended health and dental coverage

RRSP plan with company match

Paid time off (hybrid work)

Lyft Health Care Savings Account

Subsidized commuter benefits

Job summary

Lyft is seeking an experienced Machine Learning Engineer for the Safety and Customer Care team in Toronto. You will fine-tune open-source models, build AI agents, and drive end-to-end safety workflows that scale to millions of interactions.

You should have 3+ years in applied ML/AI, hands-on PyTorch and Python, and experience with LangGraph or similar frameworks. This is a hybrid, in-office role with strong collaboration across product and data science.

Qualifications

• 3+ years of industry experience in applied ML/AI with an advanced degree.

Responsibilities

• Fine-tune and align open-source models for SCC use cases.

Skills

ML/AI engineering

Python

PyTorch

LangGraph

Open-source models

Agent development

Evaluation metrics

Production deployment

Education

MS in Computer Science / ML

PhD in CS/ML or related field

Tools

LangGraph

Job description

Lyft is seeking an experienced Machine Learning Engineer for the Safety and Customer Care team in Toronto. You will fine-tune open-source models, build AI agents, and drive end-to-end safety workflows that scale to millions of interactions.

You should have 3+ years in applied ML/AI, hands-on PyTorch and Python, and experience with LangGraph or similar frameworks. This is a hybrid, in-office role with strong collaboration across product and data science.