Top Python Jobs in Toronto

The role involves defining and verifying vehicle platform requirements, enhancing capabilities, and ensuring safety compliance for self-driving technologies, while leading test campaigns and collaboration.

Design and develop motion planning software and algorithms for self-driving vehicles, collaborating with engineers and researchers while maintaining progress on long-term goals.

Lead and grow an engineering team for a large-scale SaaS product, providing hands-on technical leadership, code reviews, and architecture guidance. Collaborate with Product and Design to set roadmaps, contribute to implementation, hire and coach engineers, and support career development and team performance. Foster a feedback culture and adapt processes and technology, especially around AI.

Senior QA Software Engineer responsible for testing and validating networking and cloud-native systems. Responsibilities include network protocol and security testing, cloud platform and container orchestration validation, triage and root-cause analysis of production issues, observability-driven debugging, and building/using automation and AI tools to resolve complex customer problems.

As a Performance Reliability Engineer, you will optimize performance and reliability of ML systems, analyze workloads, enhance collaboration with cross-functional teams, and influence architecture design.

As a Performance Engineer, you will optimize CPU and memory subsystems for high-performance ML workloads on x86 machines, develop algorithms for data movement, and engage with the AI community to enhance our AI platform.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

The Software Engineer will validate and verify flight control systems software, perform testing in alignment with DO-178C standards, and contribute to process improvements.

Design, build, and maintain Salesforce-based AI Agents (Agentforce) and intelligent automations. Develop integrations, write and test Apex/JavaScript/Python code, create automated tests, troubleshoot issues, produce technical documentation, support DevOps processes, mentor junior engineers, and collaborate with product and business teams to prototype and deliver AI-driven solutions.

The Senior Software Engineer will build backend features for user-facing products, lead development processes, and collaborate across teams to enhance Pinterest's services.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

Lead design, development, and maintenance of large-scale Python-based generative AI platforms and services. Collaborate with data science, technical, and business stakeholders to define architecture, deploy GenAI products, enforce coding standards and testing, mentor mid-level engineers, manage multiple projects, and ensure governance, risk, and controls for enterprise-grade AI solutions.

Lead design, development, and deployment of large-scale Python-based Generative AI platforms and services. Drive architecture, stakeholder engagement, vendor partnerships, CI/CD, and governance. Manage multiple complex projects, mentor mid-level engineers, and ensure risk, monitoring, and integration across Citi business units.

Provide L1/L2 production support for Equities Derivatives pre-trade systems, troubleshoot distributed architectures, manage incident lifecycle, monitor intraday and end-of-day processes (risk, PnL, market data), escalate and collaborate with development teams, follow ITIL incident/problem/change processes, participate in on-call rotas, deployments, and disaster recovery testing.

As a Data Developer, you will design and maintain CI/CD pipelines, automate processes, and support scalable cloud infrastructure while ensuring data system reliability and collaborating with various teams to optimize data delivery.

This role involves optimizing fabrication processes for photonic quantum computing hardware, including photodiodes, and collaborating with partners and engineers.

The AI Developer will integrate generative AI into R&D methodologies, develop tools for research tasks, and collaborate with scientists and engineers.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

Lead post-silicon power characterization and correlation for semiconductor products, develop measurement strategies, and improve power architectures to meet specifications.

The Data Engineer will design and maintain data pipelines on cloud data warehouses, manage integrations with advertising platforms, ensure data quality, and collaborate with cross-functional teams to meet reporting needs.

Serve as the primary technical pre-sales lead for large enterprise accounts, defining technical strategy, driving ML/AI and data-driven adoption, building technical champions, coordinating virtual teams, and supporting sales to deliver business outcomes using big data and cloud platforms.

Design, build, and optimize lakehouse data pipelines and curated data products using Python and SQL. Improve performance, observability, governance, and cost-efficiency. Own data modeling, orchestration, data quality, and secure access patterns. Partner with product, engineering, and analytics teams, troubleshoot production issues, and mentor junior engineers to advance the organization’s data platform and AI readiness.

Operate and automate cloud-native infrastructure, maintain core platform services, perform system administration, implement IaC and configuration management, improve CI/CD and observability, collaborate across teams, contribute to incident response, and support security and compliance practices to improve platform reliability.

Lead commercial mortgage pricing oversight, transaction analytics, allocation management, portfolio and client reporting, and strategic initiatives. Maintain and enhance pricing models, reporting, and analytical tools, ensure data integrity, incorporate accounting/regulatory considerations (IFRS 9, NAIC), and present insights to senior stakeholders. Collaborate with Origination, Credit, Accounting, ALM, and external clients to support portfolio performance, allocation compliance, and new lending initiatives.

Lead technical design, architecture, and delivery of backend and platform services for AI agent workflows. Own cloud infrastructure, IaC, CI/CD, Kubernetes/EKS, and managed AI runtimes. Improve reliability, observability, performance, and cost efficiency; mentor engineers; drive cross-functional initiatives and participate in on-call support.