Top Python Jobs in Toronto

Own and patch Chromium/Firefox C++ source to build an in-house stealth browser. Fix fingerprinting at the engine level (navigator, WebGL, canvas, fonts, Client Hints), eliminate CDP leaks, maintain per-OS fingerprint profiles, continuously rebase patches, build validation tooling, and debug detection issues to keep automation indistinguishable from real users.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

Develop and maintain scalable APIs, microservices, and distributed systems for Autodesk's data infrastructure, ensuring high-availability and efficiency in complex environments. Collaborate with cross-functional teams to turn business needs into effective systems and mentor junior engineers.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.

Lead the design and development of backend systems, APIs, and microservices for next-gen applications, ensuring scalability and performance.

The Senior Researcher will develop Physical AI research, focusing on robotic models and multimodal learning while collaborating on experiments and publications.

Design and develop AI agents using large language models, optimize multi-agent systems, and integrate these agents into real-world tools and systems.

Design and implement infrastructure solutions for reliable, scalable data-intensive systems, optimize PostgreSQL databases, and enforce Infrastructure as Code best practices.

As a Software Engineer Intern, you will work on core products at Zip, building reliable and scalable features, writing quality code, and collaborating with teams.

The Senior Developer, Enterprise AI will lead the design and implementation of AI-enabled workflows, collaborating with cross-functional teams to develop secure and scalable solutions while mentoring junior developers.

The Full Stack Engineer will develop and maintain SaaS platforms, working on both front-end and back-end systems, collaborating with teams to deliver user-focused features and uphold high code quality through testing and performance monitoring.

The AI Engineer will design, develop, and deploy AI solutions in property and casualty insurance, focusing on claims processing, underwriting, and customer engagement while ensuring responsible AI practices and effective data integration.

As a Customer Engineer, you'll bridge technical problems and client needs in analytics and ML, designing data solutions and ensuring high-quality feature delivery.

The Customer Engineer will bridge technical challenges and client needs through full-stack development, enhancing customer experiences and delivering innovative solutions.

The Associate Product Manager will work with analytics, ML, and product teams to develop features based on data insights, ensuring effective data management and customer outcomes.

The Staff AI Developer will shape architecture, build systems for a SaaS application, and implement AI features while collaborating with various teams.

As a Senior Analytics Developer in People Analytics, you'll design data pipelines, create employee records, and ensure data governance while collaborating with HR and Finance.

Design and manage data platforms and pipelines, optimize workflows, ensure data security and compliance, perform data modeling, and collaborate with stakeholders.

The Database Engineer will optimize performance, ensure reliability, design robust database solutions, and provide technical mentorship while collaborating with various teams.

The AI/ML Engineer will develop and optimize machine learning models, focusing on conversational systems, multi-agent solutions, and scalability, while collaborating across teams to enhance user experiences.

Design and develop platform capabilities, optimize performance, and improve deployment processes. Collaborate on engineering quality and foster an innovative culture.

As a Senior Staff Engineer, you will architect and model wireline communication systems, develop DSP techniques, and lead modeling and verification efforts.

The SDET will design and maintain automated testing frameworks, collaborate with teams to define testing strategies, write automated tests, and mentor junior team members.

As a Senior Software Engineer, you'll build a core platform for agent-native operations, focusing on design, reliability, and safety in AI systems while collaborating with cross-functional teams to implement impactful workflows.