Top Python Jobs in Toronto

Support collateral lifecycle for OTC derivatives and securities financing: monitor exposures, investigate valuation and margin disputes, prepare reports, track dispute resolution, collaborate cross-functionally, and drive process improvements to enhance automation, accuracy, and controls.

The FX Artist will create and simulate high-quality visual effects using Houdini, collaborating with the project team, and responding to feedback.

As a Research Scientist in Neural Reconstruction, you will develop algorithms for 3D/4D scene reconstruction using real-world sensor data, collaborate on large-scale simulation systems, publish research and mentor junior scientists.

Develop algorithms for World Models focusing on large-scale modeling for dynamic 4D environments. Conduct research in generative and predictive modeling, collaborate with engineers, and mentor junior scientists.

As a Senior Developer, you'll design, develop, and maintain software systems, mentor juniors, ensure code quality, and collaborate with teams for scalable solutions.

As an Android Engineer, you'll enhance automated tools for analyzing APKs, improve dynamic analyzers, and collaborate on security checks for Android applications.

Develop and commercialize MEMS-based inertial measurement units, enhance performance of Inertial Navigation Systems, design algorithms, and collaborate with product teams.

As a Staff Backend Engineer, you'll design and evolve backend services, architect data models, mentor engineers, and influence architecture and product direction to enhance enterprise-grade performance.

As a Senior Full-Stack Engineer, lead the development of new ad features, build scalable APIs, and innovate user experiences for Hopper's advertising products.

The Client Solution Architect will lead complex implementations, drive client engagement, mentor teams, and establish standards within wealth management solutions.

The AI Engineer will design and implement production-ready LLM systems, optimize for cost and latency, and collaborate across teams while demonstrating strong ownership and independent execution.

The Principal Engineer, Data Solutions leads technical standards in data modeling and analytics, mentors team members, solves complex data problems, and develops scalable data solutions, focusing on hands-on coding and code quality.

Design and implement infrastructure platforms and tooling while managing complex technical projects and mentoring engineers to enhance system reliability and scalability.

The Machine Learning Intern will design and train models, develop AI agents, and work with teams to create impactful applications.

As a Senior Data Scientist, you'll integrate Vision Language Models into analytics systems, optimize performance, and collaborate across teams to develop computer vision features.

The Sr. Device Administrator oversees endpoint deployments and security, manages vulnerability assessments, supports complex issues, and collaborates on IT infrastructure projects.

The Manufacturing Bring-up Engineer oversees system testing and validation, collaborating with cross-functional teams to automate workflows and enhance manufacturing efficiencies.

Responsible for software integration and quality for Cerebras AI platform, focusing on automation, debugging, and cross-team collaboration. Develops QA strategies and testing methodologies to ensure product quality.

The Senior Machine Learning Engineer will develop scalable machine learning solutions and integrate them to meet business needs. Responsible for documentation, code reviews, and establishing best practices, this role requires collaboration with various stakeholders and providing technical guidance.

The Software Engineer will focus on ML Ops, developing deep learning models, creating redundancy systems, and generating performance diagnostics, ideally with a robotics background.

The Senior Software Engineer will lead the technical roadmap for AI initiatives, architect LLM systems, and mentor engineers while collaborating with product teams to design technical solutions.

You will develop high-performance quantum software components, build benchmarking tools, and lead best practices in software development processes.

Develop high-performance software for optimizing quantum hardware. Responsibilities include authoring libraries, enhancing communication protocols, benchmarking, and ensuring software quality.

Develop and maintain JIT and AOT hybrid compilation pipelines for PennyLane, focusing on algorithm implementation, R&D for hardware platforms, and software quality.

You will develop and expand pennylane.ai, collaborate with teams, maintain high code standards, and architect scalable frontend systems.