Top Machine Learning Jobs in Toronto

In this role, the researcher will specialize in computer vision and machine learning, developing algorithms, evaluating solutions, and collaborating with teams.

As a Co-op Researcher, you will engage in research and development in computer vision and machine learning, optimizing algorithms and models for mobile computing constraints.

Assist in research and development of computer vision and machine learning technologies through deep learning and image analysis. Optimize algorithms for mobile deployment and contribute to projects involving image and video analysis.

The Machine Learning Engineer will develop and deploy ML models for energy forecasting, build components for digital twin platforms, and collaborate across teams on practical solutions.

The role involves leading AI/ML technical planning, evaluating new technologies, collaborating with stakeholders, and fostering innovation in the team.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

As a Senior Machine Learning Engineer, you will own the ML stack, develop generation systems, improve quality, collaborate cross-functionally, and build data pipelines.

Train and evaluate machine learning models, build predictive models, design feature pipelines, and integrate models into production systems.

As a Senior Machine Learning Developer at Unity, you'll optimize ad budgets, integrate GenAI for asset creation, and maintain high-throughput billing systems while leading experimentation efforts to enhance marketplace performance.

The role involves designing, developing, and deploying scalable machine learning models and AI systems, focusing on end-to-end ownership of the ML lifecycle, collaborating cross-functionally, advocating for technical excellence, and mentoring junior engineers while championing Responsible AI practices.

The role involves designing and implementing MLOps pipelines, optimizing machine learning processes, and ensuring model performance and compliance in a collaborative environment.

The Senior Software Engineer will develop AI/ML features, build robust APIs, create user-friendly UIs, and integrate AI models into ClickHouse Cloud.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

As a Machine Learning Engineer, you will develop scalable ML systems, work with large datasets, and collaborate with a talented AI team.

Design and operate a scalable ML platform for model training, deployment, and governance while optimizing performance and supporting data scientists in productionizing workflows.

The Senior MLOps Engineer will build and operate scalable infrastructure for AI solutions, collaborating on ML-driven features, troubleshooting production issues, and mentoring team members.

The role involves building standardized training frameworks, profiling model performance, collaborating with teams, and improving related tooling.

The role involves developing infrastructure for benchmarking AI inference performance, analyzing system behavior, designing telemetry systems, and collaborating with teams to improve feature performance.

The Machine Learning Engineer / Data Scientist will build and deploy machine learning solutions, working through the ML lifecycle from problem framing to production.

As an ML Platform Engineer, you will enhance Afresh's ML platform, improving performance and scalability. Responsibilities include developing new features and implementing scalability improvements for ML solutions.

The role involves collaborating with customers to solve engineering challenges using machine learning, develop solutions, train teams, and improve products based on feedback.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

The Staff Software Engineer will enhance the ML platform's performance and scalability, collaborating with teams to support predictive modeling and real-time inference capabilities.

The role involves improving machine learning ranking models, implementing algorithms, and taking full ownership of machine learning systems within Quora's product.

As a Senior Machine Learning Engineer, you will design, develop, and deploy ML systems, mentor team members, and collaborate on advanced AI applications in tax research.