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Machine Learning Engineer

Toronto Coworking💼 Full-time💰 $118,800–$118,800🗓 2026-07-06 → 2026-07-31

Core

Design, build, and deploy ML systems across Lyft Business to solve problems in pricing, marketplace optimization, fraud detection, and agentic AI.

Role type

Senior IC Machine Learning Engineer

Builds

Production ML models and agentic AI systems for B2B transportation solutions (Business Travel, Lyft Pass, Concierge)

Domain

Transportation / B2B SaaS / Applied AI

Deliverable

production ML models

Required skills

GenAI/LLM ecosystems (prompt engineering, RAG, agent frameworks), graph-based ML methods, pricing/marketplace/fraud ML, cloud ML services, independent project scoping

Preferred skills

Experience with LangChain/LangGraph, fine-tuning, knowledge graphs

Technologies

LangChain, LangGraph, AWS SageMaker, Bedrock

Responsibilities

Develop and deploy ML models for dynamic pricing, marketplace optimization, fraud detection, and anomaly detection; Build and iterate on agentic AI systems; Design and implement feature pipelines and serving infrastructure; Partner with Data Scientists to scale research prototypes; Evaluate ML system performance against business KPIs; Identify new ML opportunities across Lyft Business verticals; Contribute to team engineering standards

Seniority

Senior, hands-on IC

Rewrite
## Responsibilities - 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 ## Requirements - 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 ## Benefits - Extended health and dental coverage options, along with life insurance and disability benefits - Mental health benefits - Family building benefits - Child care and pet benefits - Access to a Lyft funded Health Care Savings Account - RRSP plan with company match to help save for your future - In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service - Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible. - Subsidized commuter benefits and Lyft ride credits Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
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