Top Machine Learning Jobs in Toronto

As an AI Product Manager, you will lead the product development for AI-driven features, collaborating with engineers and designers to optimize user experiences and ensure alignment with business objectives.

Design and build the core platform for developing and operating AI agents at scale, focusing on reliability, observability, and automation.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

The Neuron Whisperer will establish and execute neuron culture methods, optimize protocols, collaborate with teams, and provide input on research design and workflows.

As an ESG & CSR Responsible AI Intern, you'll develop AI ethics principles, collaborate with teams, conduct audits and promote transparency in AI practices.

The role involves developing AI-based IDE technologies to improve software development efficiency, collaborating on language and compiler capabilities, and prototyping innovations for developers.

As an Intern Researcher, contribute to research on large language model-based agents, focusing on evaluation and autonomous reasoning. Involves formulating problems, conducting experiments, and contributing to publishable work.

As the Founding Product Manager, you'll drive product strategy and execution, collaborating with cross-functional teams to deliver innovative AI-native design experiences.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

The Data Scientist will design algorithms for insights, structure data, collaborate with machine learning engineers, and analyze datasets to improve workflow automation and product value.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

Design, build, and operate data pipelines and ML services to detect unusual patterns in healthcare claims, focusing on model development and data engineering.

As a Principal Machine Learning Engineer, you'll design and implement core ML systems for AI agents, collaborating with cross-functional teams and overseeing the full lifecycle of products from data strategy to deployment.

As a Technical Consultant, you will solve business challenges using various technologies, support clients in agile teams, and develop your leadership skills.

The Principal Product Manager will lead AI-native systems for pricing intelligence and financial integrity within the travel sector, collaborating with cross-functional teams to enhance revenue processing and model lifecycle management.

Lead a product portfolio for Clio's core case management experience, utilizing legal expertise to drive innovation and user adoption while simplifying attorney workflows with AI tools.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

Develop and enhance machine learning systems for fraud detection, build pipelines, prototype models, ensure model health, and collaborate with cross-functional teams.

As a Software Engineer II, you'll build the ML Feature Platform, collaborate on developing backend systems, and ensure operational availability while engaging in team growth.

The Senior Staff Machine Learning Engineer will lead the design and scaling of advanced ML systems, mentor engineers, and define technical strategy across Affirm.

As a Senior Machine Learning Engineer, you'll design and develop AI systems, focusing on LLMs and improving agent performance while mentoring engineers.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

The Senior AI/ML Scientist will research and develop cutting-edge AI technologies, particularly in LLM and Agentic AI, to enhance Vanguard's business operations and client experiences through innovative solutions.

The Associate Director of Data Sciences drives SOTI's AI and data strategy, develops AI capabilities, and mentors teams to enhance product efficiencies.