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Machine Learning Jobs in Toronto
20 open positions · Updated 1 week ago
20 Machine Learning roles across 11 companies, most in AI/ML; 15% fully remote
Who is hiring (11 companies)
Role types
Work arrangement: 3 fully remote · 8 hybrid · 9 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 20 positions
Search with filters →Join Shift Technology as an Applied Data Scientist/Engineer to develop AI solutions for fraud detection and automation in a hybrid work environment.
Lead a team of machine learning engineers to develop innovative AI solutions at Clio.
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 Machine Learning Engineer to design and deploy ML systems that impact business across various domains.
Join Lyft as a Data Scientist on the Mapping team to enhance routing algorithms and improve travel time estimations.
Join Lyft as a Data Scientist to leverage causal inference for enhancing safety and customer care experiences.
Join Pinterest as a Sr. Machine Learning Engineer to build cutting-edge technology that personalizes user experiences for millions.
Join Stripe's Data Science team to drive impactful data analyses and model development for the Link product.
Join Stripe's Fraud Data Science team to build and improve models for fraud detection and loss management systems.
Join Reddit as a Staff Data Scientist to lead innovative measurement and identity solutions in advertising.
Join Faire as a Senior Applied AI/ML Scientist to drive retailer growth through innovative machine learning solutions.
Join Stripe's ML Infra team to build scalable services that enhance ML development and MLOps across the company.
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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