Machine Learning Engineer, Lyft Business & Ads
Toronto, ONTemps plein
Urban Ridge Supplies
Candidates need hands-on experience with machine learning in production, and preferably with LLM tools such as prompt engineering, RAG or agent frameworks. Experience with pricing, marketplace or fraud problems, cloud ML services, and independently scoping projects is an asset.
AWS SageMaker, AWS Bedrock, LangChain, LangGraph