Top Python Jobs in Toronto

The R&D Engineer will design and implement performance workloads on Cerebras' wafer-scale hardware, collaborating across teams to advance AI and scientific computing. Responsibilities include optimizing performance models, contributing to the technology roadmap, and publishing research findings.

Develop and maintain PennyLane, a quantum programming framework. Responsibilities include designing infrastructure, implementing software features, and collaborating with various teams for advanced execution pipelines.

The role focuses on designing superconducting analog components for SNSPDs, optimizing circuit architectures, and ensuring scalability through collaboration and validation processes.

Design and maintain scalable ELT/ETL pipelines on GCP, build and evaluate predictive ML and NLP models (including LLM prompt engineering), implement XAI for interpretability, perform EDA and automation, and document governance and compliance to support enterprise fraud detection and SIU stakeholders.

Join the SOTA Training Platform team to bring up ML models on Cerebras systems, enhancing performance across the software stack and debugging issues.

The AI Engineering Lead will spearhead AI-powered solutions for fraud detection in insurance, oversee system architecture, mentor engineers, and ensure fair AI practices in fraud mitigation.

Design, implement, optimize, and validate high-performance ML and linear algebra kernels for Cerebras hardware. Develop low-level assembly and CSL routines, measure and tune performance, build testing methodologies, and collaborate with chip and system architects to maximize compute utilization for AI and HPC workloads.

Join the Kernel Reliability team to improve the reliability of compute clusters, assist in debugging, and enhance system tools alongside hardware teams.

Join the Inference Core Model Bringup team to bring up ML models on Cerebras CSX systems, focusing on performance, optimization, and debugging.

Design and build scalable .NET backend services and gRPC microservices; optimize data layers (SQL Server, MongoDB, Elasticsearch); implement cloud integrations on AWS and Azure; ship AI/ML features (LLMs, RAG, vector search, ranking, personalization) and operate MCP servers; contribute to CI/CD, observability, containerization, and production ML integrations impacting high-traffic consumer marketplaces.

Lead design and validation of advanced analytics and statistical methodologies, manage the Data Science team, ensure accuracy and rigor of models, integrate diverse data sources, support automation, produce actionable reports, and collaborate with Product, Technology and Operations stakeholders.

Lead design of high-speed analog/mixed-signal transceivers for silicon photonics systems. Drive block specifications with cross-functional teams, run post-layout and mixed-signal simulations, validate circuits in lab, define test plans, document designs, and mentor junior engineers.

Develop and extend device software and firmware for photonic AI processors, collaborating with multidisciplinary teams on system integration and control mechanisms.

The Senior Staff Software Engineer will lead technical strategy, architecture decisions, and mentor engineers to shape the platform across teams, ensuring high standard coding and systems design with a focus on customer outcomes and engineering excellence.

The role involves designing, developing, and maintaining AI-powered software solutions in fintech, driving technical and strategic decisions, and managing project timelines.

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

The Design Verification Engineer will rigorously verify designs using UVM techniques, collaborating closely with digital and analog design experts, while defining DV methodologies and ensuring quality tapeouts.

The role involves onboarding applications, setting up automated build and testing environments, and advocating for DevOps processes. Requires scripting proficiency.

Design, operate, and scale large-scale Linux/HPC infrastructure for AI workloads. Maintain clusters (bare metal and cloud), monitor health, troubleshoot incidents, improve performance and resource utilization, automate tasks (Python, Bash, Ansible, Terraform), and collaborate with HPC, platform, and research teams.

As a Staff Software Engineer at Saris AI, you will lead the design and architecture of core systems, build AI-powered software for financial workflows, and drive engineering excellence while collaborating with product and leadership teams.

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.

Lead SKU-level pricing strategy and execution through competitive benchmarking, data analytics, and cross-functional collaboration. Produce data, pricing recommendations, and reports to meet margin targets, improve processes, and support Category and Merchandising teams.

The DevOps Engineer will onboard applications, set up automated build and testing servers, and maintain non-production environments while promoting DevOps principles.

The Senior Data Scientist supports targeted marketing campaigns by analyzing data, developing insights, measuring performance, and mentoring team members with a focus on machine learning and statistical rigor.

Lead the development of Python services and Generative AI solutions, while mentoring engineers and managing client engagements from discovery to delivery.