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Machine Learning Jobs in Toronto
21 open positions · Updated 9 hours ago
21 Machine Learning roles across 9 companies, most in AI/ML; 10% fully remote
Who is hiring (9 companies)
Role types
Work arrangement: 2 fully remote · 7 hybrid · 12 not stated
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 21 positions
Search with filters →Lead cross-Risk initiatives at Stripe to transform how users manage risk using advanced AI and infrastructure.
Own the full recruitment lifecycle for technical teams at Mecka AI, focusing on engineering, robotics, and machine learning talent.
Build backend services and APIs to help businesses prevent fraud and abuse at Stripe.
Join Lyft as an ML Software Engineer to enhance routing systems for millions of daily users in a collaborative environment.
Join Mecka AI as a Computer Vision Engineer to enhance 3D geometry and classical computer vision for robotics and AI systems.
Join Lyft as a Senior Machine Learning Engineer to lead the development of advanced AI systems for ride-sharing.
Join Pinterest as a Machine Learning Intern to work on AI-driven projects and collaborate with engineering and product teams.
Join Backstory as a Senior Software Engineer to develop AI systems that analyze vast amounts of enterprise data for business insights.
Join Doppel as a Machine Learning Engineer to build and scale detection systems against evolving digital threats.
Join Lyft as a Data Scientist on the Mapping team to enhance routing algorithms and improve travel time estimations.
Join Pinterest as a Sr. Machine Learning Engineer to build cutting-edge technology that personalizes user experiences for millions.
Join Stripe's Fraud Data Science team to build and improve models for fraud detection and loss management systems.
Join Stripe's Applied ML team to develop and deploy machine learning models that enhance user interactions with the platform.
Lead a team to develop an AI conversation platform that enhances user experience for Stripe merchants.
Join Faire as a Staff Applied AI/ML Scientist to lead the development of advanced search and recommendation systems.
Lead a team of Delivery Solution Architects to drive customer success and usage growth in a high-growth environment.
Join Block as an Applied Research Intern to develop proactive intelligence systems that enhance customer understanding and decision-making.
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