Top Machine Learning Jobs in Toronto

As a Machine Learning Engineer II, you will build advanced ML models and systems, collaborate with teams, and improve personalized experiences on Pinterest.

The Customer Success Manager ensures client satisfaction by managing projects, building relationships, and facilitating communication between clients and internal teams to drive technical guidance and business opportunities.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

The Senior Experience Designer will create advanced tools for customer experience, focusing on AI and automation in Autodesk products. Responsibilities include partnering with teams, prototyping designs, conducting user research, and ensuring design consistency.

The Manager, Product Analytics leads a team to drive product insights, collaborates on business objectives, and oversees analytics projects to inform product decisions and improve user experience.

The Principal Product Manager will oversee product vision and strategy for AI solutions at Autodesk, collaborating with cross-functional teams and acting as a customer advocate to drive product development and innovation. Key responsibilities include roadmap management, customer engagement, and monitoring industry trends, requiring extensive experience in product management and machine learning.

The Senior Manager of Machine Learning will lead a team to build and scale ML systems, ensuring they are production-ready and scalable, while collaborating with product and engineering teams.

The Director of Machine Learning will lead a new ML team, managing strategies for Document Generation and AI systems while collaborating with Product and Engineering.

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

The Transformation Project Lead drives enterprise-level transformation initiatives, focuses on implementing digital tools and automation, and collaborates with cross-functional teams to improve operations.

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.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

The Technical Manager, PX Platform will oversee the development and operation of systems for Player Experience, manage tools integration, and enhance service improvements through automation and data management.

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 Machine Learning Engineer, you will develop and implement machine learning algorithms, train models, collaborate with product and engineering teams, and guide junior engineers.

Lead exploration and development of Generative AI in AEC applications, collaborating with teams and managing project progress while addressing customer needs.

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 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.

The Principal, Completion Portfolio Strategies will drive research and investment strategies within a quantitative framework, manage QIS, and foster innovation across portfolio management.

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.

Design and build AI-driven developer tools, integrate third-party AI models, mentor engineers, and improve AI coding agents to enhance software development processes.

Design and implement scalable ML infrastructure, develop CI/CD pipelines, collaborate with teams to optimize model performance, and provide DevOps support.

As a Senior Machine Learning Engineer, you'll develop ML solutions, design APIs, maintain data pipelines, and collaborate with teams for optimal performance and innovation.

As a Senior Machine Learning Engineer, you will develop ML/AI applications, enhance operational safety and efficiency, and collaborate with various teams on innovative projects.

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.