Top Python Jobs in Toronto

As an Engineering Manager at Harvey, you will lead a full-stack team, oversee core product delivery, and ensure high-quality user experiences by combining technical design and product vision.

As a Data Scientist II, you will build and deliver data science solutions, validate models, support teams, and communicate insights to stakeholders.

The Solutions Engineer will provide technical expertise for customer implementations and collaborate with various teams to improve the product, focusing on integration through APIs and Infrastructure as Code.

As a Senior or Staff Software Engineer on the Localization team, you will design algorithms for state estimation systems, optimizing multi-sensor data fusion for real-time vehicle localization in autonomous driving.

As a Senior Software Engineer on the Mapping team, you will architect and develop robust, scalable systems for autonomous vehicle mapping, collaborating with multidisciplinary experts and handling complex data processing.

Seeking a Senior Software Development Engineer in Test to architect and maintain test infrastructure, automation frameworks, and build CI/CD pipelines for cloud-based products. Responsibilities include mentoring, improving test strategies, and ensuring software quality and performance.

Lead the frontend digital design of D2D PHY for chiplet systems, optimizing performance and collaborating across teams while mentoring junior designers.

The Senior Product Manager will manage data quality features for the Compass Platform, collaborating with teams to enhance data integrity and deliver product features. Responsibilities include designing specifications, managing backlogs, and ensuring product releases align with customer needs.

Contractor will audit, document, migrate, rebuild, test, and validate CRM workflows and sales pipeline automations from HubSpot to GoHighLevel. Responsibilities include integrations (Zapier, Make.com, monday.com), API/webhook troubleshooting, data validation, QA, documentation, stakeholder coordination, and supporting post-launch fixes.

Part-time AI Application Engineer focused on measuring and improving healthcare AI agent performance in production. Responsibilities include instrumenting agent quality, identifying failure points, designing experiments, analyzing results, and partnering with clinical experts to improve patient outcomes. The role requires Python, strong analytical judgment, comfort with ambiguity, and interest in healthcare. Clinical experience is valued but not required. Engagement is structured as a paid internship or contract role with weekly Bay Area office syncs.

Design, build, and operate integrations, APIs, data exchange systems, and AI-enabled connections for accounting and ERP platforms. Own integration pipelines, SLAs, data contracts, observability, and production support. Provide technical direction through architecture reviews, code reviews, and pair programming while partnering cross-functionally on roadmap decisions. The role requires hands-on software development, scalable data architecture, secure integrations, experimentation, and participation in an on-call rotation.

Build and maintain the software engineering backbone of Genesis-World, an open-source multi-physics robotics simulation platform. Responsibilities include scalable testing for JIT-compiled systems, deterministic simulation replay, autodiff integration, scene editing, plugin architecture, actuation, local time stepping, event systems, serialization, telemetry, performance improvements, and legacy refactoring. The role also involves code reviews, issue triage, contributor support, and collaboration with compiler and physics teams across GPU and operating-system platforms.

Develop and ship production-ready physics simulation capabilities for Genesis-World, improving speed, fidelity, completeness, versatility, and scalability. Implement and optimize multi-physics algorithms, constraint solvers, adaptive timesteps, contact resolution, and heterogeneous solver coupling using Python and GPU/CPU backends. Validate methods through analytical solutions, cross-engine comparisons, and real-world data, while delivering tested, documented code for robotics learning pipelines.

Own Quadrants, an open-source Python compiler for performance-critical numerical computing and physics simulation. Lead its API, intermediate representation, lowering, compiler backends, optimization passes, numerical primitives, benchmarks, roadmap, and user adoption. Optimize GPU and CPU execution, maintain system coherence, track regressions, improve usability, and collaborate with Genesis users. The role combines compiler research, GPU engineering, API design, open-source product ownership, and future leadership of a small team.

Build and scale backend systems for Knak’s AI-powered marketing automation platform. Develop Laravel APIs, Python and Node.js AI microservices, and scalable AWS infrastructure. Optimize MySQL databases, support observability and performance, maintain code quality through testing and reviews, collaborate cross-functionally, contribute to architecture decisions, and mentor engineers.

Build and own robot autonomy systems spanning task, behavior, path, and trajectory planning. Design long-horizon behavior architectures with recovery and operator handoff, coordinate multiple robots, integrate LLM/VLM reasoning safely, and define interfaces between learned policies and classical planners. Evaluate performance through simulation, log replay, regression testing, and real-robot field operation while collaborating across perception, controls, simulation, and platform teams.

Coordinate human-subject recording sessions, including participant preparation, sensor setup, calibration, stimulus delivery, signal monitoring, and documentation. Perform daily system quality control, manage recruitment and scheduling, maintain consent and participant records, develop SOPs, and conduct first-pass data operations using Python. Collaborate with program leadership to refine acquisition protocols and improve system performance.

Provides technical and functional leadership for epidemiological and real-world evidence statistical programming. Leads hands-on development and validation of SAS and R programs, analysis datasets, tables, figures, and reproducible workflows using healthcare data. Mentors programmers, oversees internal and CRO deliverables, establishes standards and quality processes, supports regulatory and scientific outputs, and collaborates with epidemiologists, statisticians, and data scientists across projects and therapeutic areas.

Develop and maintain AV automation tools and distributed test platforms to measure device audio/video quality. Build front-end and backend services, operationalize AV metric pipelines, and collaborate with internal teams and external vendors to validate device capabilities and roll out AV-related applications.

Embed with client engineering teams to deploy, integrate, and scale enterprise generative AI solutions. Build agentic systems, train and serve LLMs with Vertex AI, integrate models with BigQuery/AlloyDB/Spanner, implement streaming inference pipelines, and ensure operational reliability while collaborating with stakeholders to translate business goals into production-grade architectures.

Serve as a technical, customer-facing support engineer who diagnoses root causes, configures and improves AI-driven workflows, builds lightweight automations and scripts (SQL/Python/JS), synthesizes patterns for Product and Engineering, mentors teammates, and drives measurable reductions in case volume and improvements in customer experience.

Define and specify system-level digital architectures for high-speed mixed-signal photonic communication chips. Collaborate with digital, analog, photonic, firmware, and test teams to enable RTL/DV implementation, validate hardware against simulations, and author architectural specifications from concept to production.

Design, develop, and maintain automated and manual tests across web, mobile, API, and backend systems. Build automation frameworks, create test plans and cases, execute tests, log defects in Jira, integrate tests into CI/CD, validate production releases, and collaborate with developers and product owners to ensure coverage of critical payment and user flows.

Lead a ~10-engineer team owning the Content Tools platform: design, implement, test, deploy, and operate API-first tooling and governance. Establish contribution standards, CI/CD evaluation pipelines, IR evaluation frameworks, observability, and SLOs. Coordinate cross-team integration with agentic AI workflows and ensure reliability, discoverability, and licensing controls for multi-tenant content access.

Lead design, build, and operate scalable Generative AI systems (LLM apps, RAG pipelines, multi-agent systems) in production using Databricks and cloud infrastructure. Own CI/CD, monitoring, evaluation frameworks, optimize retrieval/generation, mentor engineers, and influence product roadmap.