Top Machine Learning Jobs in Toronto

Lead digital transformation of global supply chain systems by designing AI-driven workflows, automation, APIs, and data pipelines. Optimize procurement, manufacturing, logistics, and planning through predictive analytics, Power BI reporting, and scalable integration solutions while partnering cross-functionally to drive adoption and continuous improvement.

Own and lead the development, migration, and operation of recommendation systems for Fable and Everand. Responsibilities include moving Fable’s recommender to the Orion ML platform, extending ranking and retrieval capabilities, incorporating social signals, managing production quality and reliability, designing A/B tests, partnering with product managers, leading cross-team delivery, and improving engineering practices.

Develop and deploy computer vision and multimodal machine learning models for search, recommendations, video, and live streaming. Own applied research projects end to end, including data preparation, experimentation, evaluation, pipeline design, and production deployment. Build visual-language and agentic AI systems, conduct rigorous model analysis, and collaborate with product, engineering, design, and research teams to deliver scalable user and seller experiences.

Develop and deploy multimodal AI and computer vision models for eBay’s search, recommendations, content generation, video, and live-streaming applications. Responsibilities include designing scalable training and inference pipelines, fine-tuning visual-language models, building agentic AI workflows, evaluating and monitoring production systems, shaping technical strategy, partnering with cross-functional leaders, and mentoring researchers.

Leads data engineering and ML Ops strategy, infrastructure, pipelines, model deployment, monitoring, and optimization. Oversees data engineers, establishes data-centric practices, ensures scalable and secure systems, and partners with data scientists and cross-functional teams. Responsibilities include roadmap planning, team development, compliance, resource allocation, continuous improvement, and adoption of modern cloud, data engineering, and machine learning technologies.

Work on practical computer vision and AI problems, including OCR, visual recognition, vision-language models, algorithm optimization, confidence estimation, synthetic data, and self-learning systems. Design experiments, analyze production AI failures, work with real-world datasets, apply research findings, and independently develop and test solutions.

Develop machine learning and statistical models, analyze data, run experiments, and apply causal inference and optimization to improve Stripe’s products, risk, finance, growth, and go-to-market decisions. Partner with cross-functional teams, translate complex analyses into actionable recommendations, manage multiple projects, and help deploy and optimize production models.

Leads product growth for 1Password’s AI opportunities by defining target markets, validating customer outcomes, running design-customer deployments, developing ecosystem partnerships, and scaling successful motions through sales, channels, and developer communities. The role owns strategy, customer adoption, integrations, commercialization, and cross-functional execution while working with enterprise customers, engineering, product, design, business development, and go-to-market teams.

Own and improve Quora’s second-phase ranking models for feed and digest experiences. Build end-to-end machine learning systems covering data pipelines, candidate extraction, feature engineering, model training, and production integration. Identify new product applications for machine learning, develop efficient algorithms with other ML engineers, and contribute methodologies for large-scale recommendation systems.

Build and deliver production AI systems across machine learning, generative AI, and agentic workflows. Design scalable ML and data pipelines, integrate heterogeneous data, evaluate emerging AI frameworks, and deploy secure cloud-native solutions. Collaborate with data science, product, security operations, and threat research teams to deliver customer value. Write and review code, troubleshoot production issues, measure AI quality, document technical decisions, and mentor engineers.

Build and operate Homebase’s data and ML platform, including CDC and streaming pipelines, Databricks infrastructure, Terraform deployments, real-time inference services, feature stores, and MLflow workflows. Partner with data science and engineering teams to productionize AI capabilities, improve reliability and observability, and participate in on-call operations. The role requires collaboration at the Toronto hub every Tuesday and Wednesday.

Leads enterprise AI strategy, transformation, governance, portfolio management, solution implementation, adoption, and value realization. Identifies and prioritizes AI opportunities, develops business cases, oversees pilots and deployments, evaluates vendors and technologies, establishes responsible AI controls, manages risk, and drives enterprise training and change management. Partners with executives and cross-functional stakeholders to improve productivity, financial performance, operational efficiency, decision-making, and measurable business outcomes.

Build and operate production-grade machine learning and Generative AI platforms, pipelines, and reusable MLOps patterns. Responsibilities include CI/CD, Terraform infrastructure, secure credential management, scalable model serving, data pipeline optimization, model development and deployment, monitoring, governance, and responsible AI. The role collaborates with data scientists, engineers, and business stakeholders across global insurance, banking, and wealth management operations.

Lead Pebl’s data strategy, infrastructure, governance, analytics, and AI integration. Own scalable data engineering pipelines and secure global employment data while translating insights into business outcomes across Marketing, Sales, Operations, Finance, and Legal. Build AI capabilities for products and internal workflows, communicate data-driven narratives to executives and the board, and recruit and develop a high-performing team of data engineers, analysts, and AI specialists.

Develops and optimizes credit acquisition strategies, underwriting criteria, credit line assignment rules, and automated decisioning processes. Uses SQL, Python or R, advanced analytics, and machine learning to monitor portfolio performance, delinquency, defaults, and credit exposure. Collaborates with Credit Operations, Product, Engineering, Finance, and Growth teams to implement risk controls, manage exceptions, ensure regulatory compliance, and translate analytical insights into actionable credit policies.

Own the direction and implementation of Babylist’s personalization domain, including recommendation, search, feed models, custom embeddings, and shared representations. Take ambiguous problems from concept through production, owning architecture, deployment, monitoring, retraining, evaluation, and customer impact. Partner with product, design, and data, establish AI development standards, make cross-team technical decisions, and coach senior engineers while remaining hands-on with complex machine learning systems.

Leads Geotab’s North American channel sales organization, owning revenue, market share, profitability, partner growth, and strategic commercial relationships. Develops partner plans, negotiates agreements, expands the ecosystem, enables resellers and strategic partners, and aligns channel and direct sales. Builds and manages a high-performing team, oversees hiring and budgets, and applies AI and automation to improve forecasting, productivity, sales processes, and partner effectiveness. Travel of up to 60%, including internationally, is required.

Owns strategic relationships and long-term success for assigned automotive dealership accounts. Develops Customer Value Plans, leads outcome-focused Value Reviews, monitors adoption and account health, forecasts renewals, identifies expansion opportunities, and translates platform usage into measurable business value. The role coordinates with Sales, Product, Support, Enablement, and Implementation teams while representing customer needs internally. Travel to dealerships and customer events may be required.

Support research and engineering experiments in 3D reconstruction, neural rendering, and spatial modeling. Implement and evaluate ML techniques, develop experiment tooling, analyze model outputs, diagnose failures, optimize and integrate promising models into production systems, and document findings. The role requires Python, PyTorch, foundational ML and 3D computer vision knowledge, and in-office work in Toronto without immigration sponsorship.

Conduct a research project in 3D reconstruction, neural rendering, diffusion-based spatial modeling, or world models. Implement and evaluate research techniques, work with captured multi-sensor data, build experiment and evaluation tooling, and clearly present and document findings. Candidates must be enrolled in a relevant degree program, have peer-reviewed publications and strong research experience, and be proficient in Python and deep learning frameworks.

Leads strategy, roadmap, and end-to-end development of GoDaddy’s merchant capital products. Owns customer experiences across qualification, funding, repayment, and servicing while partnering with Credit, Risk, Engineering, Data, Finance, Legal, and Operations. Defines underwriting and decisioning capabilities, evaluates funding models, tracks portfolio and financial performance, and drives product launches and optimization across distributed teams.

Leads product strategy, vision, roadmap, and execution for 1Password’s Developer Experience, AI security, and AI-powered security portfolios. Oversees secure developer and AI-agent workflows involving identity, delegation, secrets delivery, and access control. Partners with engineering, design, marketing, partnerships, security, and GTM teams; leads standards and developer engagement; establishes product metrics and operating rhythms; and recruits and mentors senior product managers.

Lead research and development of real-time, photorealistic 3D and 4D reconstruction models for spatial intelligence. Set the research agenda, guide architecture and training strategy, manage datasets and evaluations, and deploy models into production. Lead and grow researchers and infrastructure engineers while evaluating emerging research, contributing to publications and patents, and driving experimentation across multi-node GPU environments.

Architect, develop, and maintain scalable Java-based UI, API, microservice, and database test automation frameworks. Build reusable Selenium, TestNG/JUnit, Cucumber, and REST Assured solutions; implement BDD, TDD, shift-left testing, and CI/CD pipelines. Integrate AI and machine learning utilities for self-healing tests and predictive analytics. Debug complex automation, concurrency, and environment issues while collaborating with engineering and product teams in an Agile Scrum environment.

Manage a high-volume portfolio of very small business customers and inbound prospects through the full sales cycle. Conduct discovery, demonstrations, proposals, negotiations, and closing while meeting revenue and activity targets. Identify expansion opportunities, maintain accurate Salesforce pipelines and forecasts, guide customers through adoption, and partner with Solutions Engineering, Customer Success, Legal, Onboarding, Product, Marketing, and Operations teams. Provide customer feedback and explain technical security concepts to nontechnical stakeholders.