Top Python Jobs in Toronto

As a Product Engineer, you will focus on creating user-friendly and polished AI products, ensuring high standards of UX while collaborating with engineers and product teams.

The Senior Quality Engineer will develop automated tests, collaborate with teams for CI/CD integration, and enhance software quality in an agile environment.

The SDET Architect will design and lead automated testing strategies across various systems, mentor teams, and ensure compliance with regulatory standards in the healthcare domain.

Build and maintain scalable backend services and APIs, optimize system performance, collaborate with stakeholders, and improve AI workflows.

Responsible for database administration, data engineering, and operations within the Data Lake and Data Warehouse. Lead ETL design, troubleshoot production issues, and mentor junior engineers.

Lead high-impact AI solutions, overseeing architecture and deployment. Partner with stakeholders, coach engineers, and drive project success from inception to launch.

As a Staff Backend Engineer, you will lead backend initiatives for energy markets, operationalize ML models, and maintain scalable infrastructure.

The role involves designing, building, and operating backend systems, working with distributed systems, and collaborating with cross-functional teams.

As a Senior Backend Engineer, you will design and build systems for AI applications, enhancing their usability and reliability while collaborating with various teams to optimize customer experience.

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.

The role involves refining and personalizing Luma's multimodal AI models, improving their controllability and adaptability for creative workflows, while collaborating with cross-functional teams.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

As a Technical Artist, you'll bridge research and application by architecting pipelines, fine-tuning models, and ensuring high aesthetic quality, collaborating closely with design and research teams.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

Design, deploy, and improve endpoint systems with an automation-first mindset, using AI-driven tools for enhanced security and operational efficiency.

You will architect and develop new features for SELECT, focusing on cost management, UI components, data visualization, and improving application performance.

This Senior Actuary role focuses on leading strategic initiatives, conducting financial analysis, developing methodologies, and influencing cross-functional teams to optimize health care programs.

The Senior Software Engineer, Infrastructure will build and enhance infrastructure and tooling for reliable service deployment, operational safety, and efficiency, while improving observability and security controls.

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

The ML Platform Engineer enhances the ML platform's performance and scalability, supports machine learning solutions, and leads software development efforts.

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.

Lead the design and implementation of ML models and systems for auto-labeling in robotics. Collaborate across teams and mentor junior engineers.