Top Machine Learning Jobs in Toronto

As an AI Specialist, you will drive AI initiatives using machine learning techniques, analyze R&D data, develop algorithms, and collaborate with teams to enhance research tools for quantum computing.

As an AI/ML Product Manager at Versapay, you'll manage products that leverage machine learning solutions, drive change, and enhance customer experience across platforms from ideation to implementation.

Lead AI/ML initiatives focusing on solution delivery and business development. Responsibilities include project management, client engagement, and mentoring teams.

The role involves exploring ideas in deep learning, managing machine learning project life cycles, and collaborating on autonomous driving technology.

The Machine Learning Engineer will design, develop, and deploy ML pipelines, optimize models, collaborate on data workflows, and implement MLOps best practices in a fintech environment.

Develop AI technologies for clinical trials, focusing on scalable ML infrastructure, optimizing models, and working cross-functionally to enhance safety and efficiency.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The Python Developer will build NLP pipelines, develop data processing jobs, and manage ML models, focusing on data engineering and AI/NLP engineering tasks.

The role involves developing NLP pipelines, managing data processing jobs, building APIs, and supporting CI/CD deployments with a focus on Python and data engineering tools.

The candidate will develop NLP pipelines, data processing jobs, APIs, and support CI/CD deployments while leveraging Python and related libraries.

Lead a multidisciplinary team to design and deliver agentic AI systems for drug discovery and clinical research, set technical roadmaps, ensure regulatory compliance and AI safety, mentor staff, and represent Sanofi in research collaborations.

Lead the development of the Wildfire Fuel Detection Model using ML techniques and geospatial data, collaborating with teams to ensure accuracy and robustness. Mentor engineers and drive architectural decisions.

The Staff Machine Learning Engineer will enhance Quora's recommendation systems, lead machine learning projects, and own end-to-end ML processes.

Contribute to developing machine learning models for multi-scale biology, focusing on design, deployment and optimization across teams and technologies.

The Staff ML Research Scientist will pioneer deep learning architectures for drug discovery, driving technical strategy and mentoring junior researchers.

The Product Manager for the AI/ML Platform will lead product strategy, prioritize backlogs, manage vendors, and ensure successful adoption of AI platforms across the organization.

The AI/ML Engineer will design, develop, and optimize machine learning models for mobile applications, collaborating with teams to enhance user experiences and innovate in AI-driven solutions.

As an AI/ML Engineer, you'll develop and optimize machine learning models for mobile applications, collaborate with teams, and integrate AI-driven features to enhance user experience.

The researcher will develop and evaluate AI/ML models, prototype innovative solutions, and collaborate to enhance product capabilities for smart devices.

The Machine Learning Engineer will enhance Stripe's self-serve support by designing and deploying ML models and systems, improving user support capabilities through AI technologies.

The role involves improving recommendation systems using machine learning, developing end-to-end ML systems, and collaborating with engineers.

The Senior Machine Learning Engineer will develop and optimize AI image generation models, monitor production issues, and collaborate on ML solutions for generative features.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

As a Machine Learning Intern, you will assist in developing, training, and deploying machine learning models, collaborating with data scientists.

The Co-op Researcher will research and develop cutting-edge technology in machine learning and computer vision, focusing on algorithm optimization for mobile devices.