Top Machine Learning Jobs in Toronto

The Machine Learning Researcher will develop and deploy advanced machine learning models, collaborating with industry experts to innovate in AI for creative applications.

Support and integrate perception algorithms in self-driving vehicles, ensuring code quality and solving integration challenges across multiple sensor modalities and deep learning models.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

As a Senior Product Manager, you will lead the transformation of Scribd's platform, developing product vision, strategy, and communicating with various stakeholders while tracking user success metrics.

The Senior Machine Learning Engineer will develop ML models for biological data, improve scalability and interpretability, and collaborate with various teams for biomedical applications.

The role involves designing and deploying full-stack software solutions, integrating AI technologies, and leading technical strategy in clinical trial platforms.

The Lead Applied Scientist innovates and drives AI solutions by leading cross-functional teams, mentoring others, and applying machine learning and NLP expertise to enhance products.

Lead and manage a research team focused on foundational ML research and development, particularly for LLMs, in collaboration with academic partners. The role involves strategic planning, innovation, and contributions to high-quality research publications.

The Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

Lead the development of neuro-symbolic AI systems, focusing on multi-modal models and domain-specific reasoning to enhance the interaction of legal and tax professionals with information.

As a Senior Machine Learning Engineer, you'll design and deploy ML models to prevent fraud, enhance safety, and support financial services at Block.

The SVP of Global Engineering will lead Maropost's engineering teams, align technical vision with business goals, and oversee high-quality product delivery, while integrating AI solutions and ensuring compliance in a high-growth SaaS environment.

Lead AI Factory program as Scrum Master and Product Owner: run Agile ceremonies, optimize MLOps/model pipelines, manage backlog, align stakeholders, remove risks, and measure business value of AI solutions.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

The Principal Software Engineer will lead the development of autonomous systems for satellites, overseeing architecture and capabilities while mentoring engineers. Responsibilities include guiding algorithms for satellite operations and ensuring software integration across mission elements.

Design and maintain ML pipelines, build data ingestion tools, collaborate with data teams, ensure data quality, and solve technical challenges in a fast-paced environment.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

The Customer Success Manager will engage with enterprise customers to drive adoption of AI solutions, manage onboarding projects, gather feedback, and ensure customer satisfaction.

Develop and lead optimization algorithms for FPGA software, focusing on enhancing performance and efficiency in Quartus tool. Ideal candidates demonstrate research expertise and collaborative skills.

As an Engineering Manager, you will lead a team of engineers, partner with product teams, and drive project delivery while fostering a culture of excellence and innovation.

Lead a team of engineers, ensuring delivery, quality, and innovation; collaborate on projects, foster team development, and promote engineering excellence.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

The Senior Account Executive will engage in B2B sales, developing relationships, understanding dealer needs, increasing revenue, and collaborating with stakeholders, while traveling 50-75%.