Top Python Jobs in Toronto

The AI Engineer designs and operationalizes intelligent systems for data extraction, collaborates with teams to establish AI standards, and delivers AI-driven solutions to improve business metrics.

The App/AI Engineer will develop AI-enabled data applications for R&D, focusing on scalable data systems, code optimization, and collaboration with stakeholders.

Drive post-silicon productization of bitcoin mining ASICs from bring-up to mass production. Lead characterization, test strategy, ATE program development, wafer sort and final test screening, DOE and yield optimization, data analysis across CP/FT/bench/system platforms, vendor/foundry engagement, and KPI/dashboard development to improve power, performance, yield, and product quality.

Design, build, and maintain scalable data pipelines and ML model enablement at petabyte scale. Partner with data scientists to productionize features and models, ensure secure data governance, automate distributed workflows, implement testing/monitoring, and support incident response and performance tuning for fraud and identity risk systems.

Design and develop scalable data science capabilities to assess merchant risk, including feature engineering, entity resolution, prototyping ML solutions, building Databricks/Spark workflows, validating and monitoring models, and collaborating with Product and Engineering in an Agile environment.

Act as a hands-on technical lead across the SDLC: design and develop cross-platform, fault-tolerant applications; own architecture and HLD; improve developer experience and engineering best practices; mentor junior engineers; work with cloud-native technologies, microservices, RESTful APIs, and container deployments.

Lead technical vision and architecture across cloud-native platforms. Provide hands-on development, design and scalability guidance, mentor engineers, produce reusable solutions, and influence engineering excellence organization-wide.

Hands-on technical lead within the SDLC owning design and development of cross-functional, fault-tolerant applications. Drive architecture and HLD, improve developer experience and internal tools, establish engineering best practices and code review standards, solve complex technical problems, and mentor junior and intermediate engineers.

Lead technical design and hands-on development of cross-functional, fault-tolerant, multi-platform systems. Own architecture (HLD), improve developer experience and internal tools, establish engineering best practices and code review standards, provide technical expertise, and mentor junior and intermediate engineers throughout the SDLC.

Hands-on Staff Software Engineer responsible for technical design, architecture, and development of fault-tolerant, cross-functional microservice systems. Act as tech lead, improve developer experience, establish engineering best practices, and mentor junior/intermediate engineers.

Work as an intern implementing cloud-native and digital infrastructure features. Refine requirements, define architectures, integrate and test solutions. Engage with open-source technologies and DevOps tools, develop UI and backend components, and collaborate within Agile/scrum teams while demonstrating strong communication and teamwork in a multicultural environment.

Lead the design and development of machine learning models, collaborating with teams to optimize solutions and mentor junior members while ensuring technical excellence.

The role involves building AI-powered analytics tools, proactive intelligence systems, and automating decision processes based on data-driven insights to drive business impact at Opendoor.

The Senior Manager, Marketing Technology will own the marketing tech stack, manage email/SMS lifecycle programs, track conversion, and automate workflows, leading cross-functional initiatives without direct reports.

Partner with operations, supply chain, and finance to analyze manufacturing metrics, build and maintain dashboards (Power BI), translate business requirements into reporting solutions, support ERP/UAT and post-implementation change management, and deliver data-driven recommendations to improve production performance.

The ASIC Validation Engineer will debug silicon, build test setups, execute tests, and collaborate with designers to validate hardware functionality.

Lead SRE work to design and improve CI/CD pipelines, provision and maintain AWS infrastructure with IaC, manage containerized deployments, provide on-call incident triage and post-incident reviews, drive reliability initiatives (DR, security, cost optimization), implement monitoring/alerting, script automation with Python/Bash, and collaborate with global teams to embed SRE practices.

The Growth Marketing Engineer will architect growth loops, optimize performance ads, manage data infrastructure, and oversee technical marketing systems to enhance worker acquisition and retention.

As an Artificial Intelligence Student, you will implement AI projects, develop solutions, evaluate initiatives, and support team members in AI-related tasks.

Design and develop Large Language Model-based applications within Pharma R&D, focusing on client collaboration and technical excellence while ensuring production readiness and performance optimization.

As a Strategy Analyst, you will perform data analytics, contribute to product strategies, and work within cross-functional teams to influence decisions and outcomes.

The role involves analyzing data, proposing product strategies, conducting market research, and collaborating with cross-functional teams to enhance customer products.

Platform-focused SRE role responsible for designing and operating multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), and onboarding/self-service tooling. Build reliable deployment pipelines, support deployment systems, collaborate across Platform Engineering, and participate in a 24/7 on-call rotation. Must work East Coast hours and drive automation to reduce toil.

Own application-layer risk identification and remediation across consumer products and APIs. Build and operate AppSec tooling, Harden auth/authorization and GraphQL security, run HackerOne and offensive testing, lead threat modeling and security reviews, and build AI agents to automate triage and remediation while embedding secure-by-default practices into engineering workflows.

Lead a data science team to design and deliver merchant registry and profiling ML capabilities for onboarding and monitoring. Define strategy, guide model development and validation, promote reusable data assets, partner with Product and Engineering, drive Agile delivery, hire and mentor team members, and communicate impact to senior leadership to scale production ML systems on modern cloud/data platforms.