Machine Learning Engineer, Lyft Business & Ads
Toronto, ONUrban 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
Principal Developer Support Engineer - Builder Experience
Toronto, ONUrban Ridge Supplies
8+ YOECandidates need 8+ years in technical support, developer relations or software development, with expert knowledge of OAuth 2.0, OpenID Connect and SAML and hands-on enterprise SCIM experience. They also need fluency in a statically typed and a dynamically typed language, cloud and container experience, and a degree or equivalent hands-on experience.
Docker, Okta Workforce Identity Cloud, Claude, CodeEx, Kong, MuleSoft
Lead Full-Stack GenAI Engineer
Toronto, ONUrban Ridge Supplies
8+ YOECandidates need at least 8 years of software or AI delivery experience, recent hands-on work with production GenAI or agentic systems, and strong Python, React and TypeScript skills. Azure cloud experience, DevOps practice and a bachelor's degree or equivalent experience are also expected.
Azure OpenAI, Azure AI Search, Microsoft Foundry, Databricks, MLflow, Unity Catalog
Lead, AI/Machine Learning Engineer
Toronto, ONUrban Ridge Supplies
3+ YOECandidates need 3+ years of software engineering experience, including 2+ years building production AI/ML or generative AI solutions. They need hands-on experience with LLMs, RAG, classical ML and deep learning, MLOps, and Azure cloud, plus strong SQL and clear communication with non-technical stakeholders.
Azure AI Foundry, Azure OpenAI, Copilot Studio, MLflow, Kubeflow, Databricks
AI Inference Engineer
Toronto, ONUrban Ridge Supplies
2+ YOECandidates need a Bachelor's, Master's or Ph.D. in Computer Science, Engineering, Mathematics or a related field, plus 2+ years of professional experience in a fast-paced environment. Production experience with Python is strongly preferred, along with familiarity with ML pipelines and strong technical communication.
Python, Docker, ComfyUI, Whisper