Top Machine Learning Jobs in Toronto

Lead the Product Marketing Management team to drive revenue growth and market awareness, overseeing product strategy, pricing, and cross-functional alignment while mentoring the team and advocating for customer insights.

Lead the development of advanced AI and machine learning models, mentor junior data scientists, and set strategy and direction for the Data Science team.

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

The AI-Native Product Manager will drive the development of AI-driven features and automated workflows in retail e-commerce, prototype solutions, and influence product strategy, leveraging AI and automation to enhance customer experience.

Drive strategic direction for new growth segments in connected device solutions, manage prioritization frameworks, and ensure product alignment across teams.

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

As a Research Scientist Manager, you will lead a global team in foundational research, focusing on AI systems, LLM training, data-centric ML, and innovation through collaboration, experimentation, and publication of findings.

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

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.

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.

Lead engineering initiatives with a focus on ML and software development, driving team excellence through strategic leadership and collaboration.

As a Software Engineering Intern, you will work on an impactful project, gain mentorship, collaborate globally, and utilize various technologies in computer science.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

The role involves designing and refining AI/ML models, conducting R&D on architecture and safety, and implementing advanced analytics for financial services.

Lead and deliver complex GenAI data projects, manage product requirements, and ensure alignment between business goals and engineering teams.

The Senior Data Engineer will develop and maintain MaintainX's data platform, implement data pipelines, ensure data governance, and collaborate with engineering teams.

As a Senior Solutions Consultant at Zendesk, you'll lead technical strategies, architect AI-driven solutions, and enhance customer experiences by leveraging advanced technologies in a collaborative environment.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

The Legal Product Consultant will integrate AI legal tools into firms, support client onboarding, and provide feedback for product innovation.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

As a Machine Learning Engineering Intern at Cresta, you'll design, develop, and deploy AI Agent solutions, collaborating across teams to implement cutting-edge AI technologies in practical applications.