Top Machine Learning Jobs in Toronto

The Machine Learning Scientist will design experiments, analyze AI model behaviors, and develop metrics to improve model evaluation, collaborating closely with engineers and product teams.

Lead open-source research in AI, design experiments, develop methodologies, and analyze data to enhance model evaluation and transparency.

Lead the design and development of scalable, high-performance real-time data and API infrastructure to support AI applications. Mentor engineers, ensure system reliability, and collaborate across teams.

The Senior Software Engineer II, Machine Learning will design and deploy ML algorithms, work with consumer data, and lead data teams.

Interns will develop cutting-edge LLM applications, optimize prompting, and improve user experience, while collaborating with full-time engineers and receiving mentorship.

As a Machine Learning Intern at Ema, you will work on building and deploying machine learning models, analyzing datasets, and collaborating with senior engineers in a fast-paced startup environment.

The Senior Machine Learning Developer will enhance ML model deployment, analyze system performance, and improve operational efficiency while collaborating with applied scientists on projects.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

Lead the development of computer vision systems, owning the full ML lifecycle from data processing to deployment. Mentor engineers and innovate production-grade solutions for construction challenges.

As an Applied ML Engineer at Boon, you'll build and deploy computer vision models for processing visual data in construction, ensuring high performance in production environments.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.

Lead and manage the Ads Content Understanding team, focusing on Machine Learning techniques to enhance Ads Monetization and deliver insights for business intelligence.

As a Machine Learning Manager for Ads Marketplace Quality, you will shape ad auction strategies, optimize delivery, manage team execution, and drive recruitment for Reddit's Ads business.

The role involves building production ML models for voice AI, focusing on fine-tuning, deploying, and evaluating models to enhance human-like interactions.

The Staff ML Platform Engineer will enhance Afresh's ML platform performance and scalability, collaborating with ML teams to improve systems and deploy models efficiently.

The Senior Machine Learning Consultant designs and develops machine learning solutions while mentoring team members and collaborating with clients. Responsibilities include conducting R&D on AI/ML models, optimizing model performance, and ensuring adherence to ethical AI practices.

You will build a search and assistant product, improve personalization, train models, and write robust code while mentoring junior engineers.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The role involves designing scalable AI solutions, managing large-scale AI deployments, building client relationships, and delivering presentations. Requires experience in MLOps and knowledge of ML ecosystems.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

As a Senior Machine Learning Engineer specializing in Reinforcement Learning, you will develop and deploy RL solutions, optimize ML models, and lead client discussions while ensuring high-quality engineering practices are followed.