Lyft
Machine Learning Engineer, Lyft Business & Ads
Toronto, Canada
Sponsorship not specifiedDetected 12 days ago
AlgorithmsAWSMachine LearningLLMsRAGAgentic AILangGraphDetection EngineeringResearch
About the role
- We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
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
- You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions.
Requirements
- Experience with GenAI / LLM ecosystems - prompt engineering, RAG, agent frameworks (e.g., LangChain, LangGraph), or fine-tuning
- 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
Skills
- At Lyft, our purpose is to serve and connect.
- Machine Learning is at the heart of Lyft's products and decision-making.
- These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs.
Compensation
- Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
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
- In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy.
- 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.
- Subsidized commuter benefits and Lyft ride credits
- Your recruiter can share more information about the various in-office perks Lyft offers.
- The expected base pay range for this position in the Toronto area is CAD $118,800 - CAD $148,500, not inclusive of potential equity offering, bonus or benefits.
Equal opportunity
- Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.
Visa & Work Authorization
- qual 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
This listing is sourced directly from Lyft's careers page and normalized into a canonical job model.