Top Python Jobs in Toronto

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

You will prototype and benchmark model innovations, develop automation for experiments, and work with teams on software/hardware integration.

As a Data Engineer, you will develop data pipelines and services, evolve data models, and optimize data processing while collaborating with teams across Lyft.

As a Data Engineer at Lyft, you'll manage data modeling and pipelines for the Safety and Customer Care team, ensuring data quality and performance through collaboration with various departments.

The Machine Learning Engineer will develop and optimize ML models for FPGA Compiler, collaborate with engineers, and enhance compiler performance using advanced ML technologies.

As a Senior QA Engineer, you will design and maintain automated test infrastructure, perform system-level testing, and coach peers in a cross-functional agile team.

The Technical Artist Intern will develop tools and workflows in Houdini, create demo projects, and collaborate with teams to enhance techniques and solve challenges.

The Sr./Principal Mixed-Signal Digital Architect will design digital circuits for photonic-based communication, collaborate with teams, and lead product development.

The Staff Design Verification Engineer will verify digital circuits in high-speed communication ICs, develop verification plans, and collaborate across teams for ASIC design.

The Senior IAM Engineer will design, implement, and manage identity and access management solutions, ensuring security and compliance throughout the organization.

The AI Engineer will design, implement, and deploy AI solutions leveraging Generative AI and agentic architectures, integrating various tools and frameworks while collaborating with cross-functional teams to deliver production-grade applications.

Design and build complex web applications and scalable APIs across front-end and back-end. Implement UIs with modern frameworks, develop microservices, manage SQL/NoSQL databases, deploy containerized cloud solutions, and maintain automated testing and CI/CD pipelines while collaborating with clients and teams.

The Product Data Scientist will analyze user behavior, define product metrics, design experiments, and build dashboards to support data-driven product decisions.

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

The AI Architect will design, code, and deploy hands-on AI solutions, leveraging AWS and Agentic AI patterns while leading technical team growth.

Lead design and governance of CSA National systems, align solutions with enterprise architecture, advise stakeholders and vendors, modernize legacy components, enforce standards, and ensure secure, scalable integrations.

As a Satellite Systems Designer, you'll define system architectures, manage requirements, drive subsystem integration, and mentor junior engineers across space missions.

The Senior Applied Scientist will design, build, and deploy AI solutions for document understanding in the legal domain, leveraging NLP and deep learning methodologies. This role involves collaborating with product teams, advancing model capabilities, and ensuring robust training and evaluation methodologies.

As Lead Applied Scientist, you will innovate and deliver AI solutions for document understanding, ensuring accountability for research deliverables and optimizing capabilities while guiding technical direction and mentoring team members.

As a Photonics Test Engineer, you will develop and optimize high-precision measurement systems for photonic devices, focusing on error analysis, uncertainty management, and collaboration with design teams.

The Senior Software Engineer will develop software by writing clean, efficient code, automate tasks, and collaborate with teams to enhance products, emphasizing TDD and API development.

Seeking a Senior Data Engineer to develop and maintain data pipelines, collaborating with data science teams to deliver accurate data for business insights.

The Lead Data Scientist designs and implements data-driven solutions, leads a team, collaborates with cross-functional teams, and mentors junior scientists while staying updated with industry advancements.

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

Lead development of web tools for autonomous driving, mentor engineers, and collaborate on technical architecture, focusing on responsive applications and cloud infrastructure.