Top Machine Learning Jobs in Toronto

Own full-cycle B2B sales for Fastino’s AI and LLM products, including outbound prospecting, qualification, demos, proofs of concept, negotiations, and closing. Build pipeline and GTM systems, manage channels and partnerships, support customer onboarding, translate customer insights into product direction, and establish repeatable sales processes. Initially operate as an individual contributor alongside founders, then hire and lead the sales and customer success organization.

Monitor, investigate, and respond to cybersecurity threats across customer environments within Sophos’s 24/7 MDR service. Analyze logs, security events, endpoint and network data; conduct threat hunting; communicate findings to technical and executive audiences; support issue resolution; research indicators of compromise, exploits, vulnerabilities, and adversary techniques; and provide recommendations to reduce customer risk.

Supports government and regulatory affairs, community and stakeholder engagement, and policy communications for an AI infrastructure company. Monitors legislation, drafts policy briefs and advocacy materials, coordinates government and trade association engagement, manages community initiatives, and advises leadership on policy risks and opportunities. Collaborates with Legal, Compliance, Communications, Policy, and go-to-market teams while tracking public sentiment and external commitments.

Build and deploy end-to-end statistical and machine learning solutions for clients and internal delivery teams. Responsibilities include scoping ambiguous problems, analyzing operational challenges, prototyping AI workflows, translating messy data and real-world constraints into scalable solutions, iterating with stakeholders, and developing reusable tooling and infrastructure. The role combines hands-on data science with technical consulting and requires communication with technical and non-technical stakeholders.

Analyze product usage and telemetry data to identify trends, opportunities, and product improvements. Partner with Product Analytics, Data Science, and product teams to define success metrics and measurement plans. Build dashboards, reports, and self-service analyses using SQL and analytics tools, validate telemetry and data quality, and communicate findings through written analyses, presentations, and recommendations.

Leads transversal finance activities across Sanofi Canada, including consolidated reporting, forecasting, budgeting, P&L management, legal entity governance, controls, and executive support. Owns finance digital and AI transformation, including AI-powered forecasting and Power BI adoption. Coordinates finance hub collaboration and Gross-to-Net process transition, while partnering across business units, corporate functions, and global teams to deliver strategic financial initiatives and change management.

Leads complex data science and advanced analytics initiatives to support business decisions. Oversees data mining, feature engineering, data quality, predictive modeling, segmentation, and model deployment. Develops programming for data preparation and model management, creates visualizations and executive presentations, establishes modeling guidelines, supports documentation and training, and improves data management tools. Acts as a subject matter expert and advisor while coordinating stakeholders and translating business needs into analytical solutions.

Research technology frontiers in AI, machine learning systems, foundational models, compiler infrastructure, and heterogeneous computing. Study state-of-the-art literature, attend conferences, develop technical insight reports, identify long-term research opportunities, create technology development charters, and define research directions that strengthen Huawei’s technology competitiveness.

Develop and execute brand strategies for rare disease therapies across their lifecycles. Drive commercial performance, launch readiness, market insights, stakeholder engagement, cross-functional collaboration, agency execution, and budget management. Use market research, analytics, AI, and real-world evidence to inform strategy, patient access, customer engagement, and business growth in the Canadian market.

Develop and validate machine learning and statistical models for consumer credit risk, fraud, portfolio management, IFRS 9 forecasting, and borrower behavior. Build explainable predictive models, automate analytical processes, identify quality data sources, document methodologies, and translate complex findings into actionable business insights. The role partners with cross-functional teams and balances model performance, interpretability, scalability, and commercial impact.

Machine Learning Interns will own scoped ML projects from problem definition through experimentation, implementation, testing, and communication. They will develop and evaluate models for discovery, advertising, and search using techniques such as NLP and graph-based modeling; analyze data; contribute to applied AI research; write maintainable code; and collaborate with engineering, product, and data teams.

Own the AI automations platform, including authoring, execution, evaluation, and improvement models. Build high-impact automations, enable product teams to ship efficiently, define platform metrics, and partner with AI engineering on agent infrastructure. The role requires customer discovery, technical decision-making, unit economics, and experience delivering adopted AI products and platforms.

Conduct applied research in machine learning and generative AI for eBay’s selling organization. Develop causal pricing models, LLM-based selling agents, evaluation frameworks, lightweight distilled models, and marketplace feedback analyses. Translate research into reliable production systems, partnering with Product, Engineering, and Data teams. Own measurable business outcomes, contribute to research strategy, and mentor junior researchers.

Lead the integrated robotaxi program plan from autonomy and vehicle readiness through safety validation, fleet operations, regulatory approvals, and commercial launch. Manage cross-functional dependencies, risks, milestones, KPIs, executive reporting, and scalable tracking processes while coordinating engineering, safety, commercial, operations, and external partners.

The Senior Research Engineer will develop and deliver scalable ML solutions, collaborate with teams, and apply innovative technologies in AI to impact professionals in legal and accounting fields.

Own complex post-sale technical relationships from onboarding through adoption and renewal. Lead implementations, integrations, configurations, and security reviews; advise strategic customers on identity, access, device trust, and SaaS security. Partner with Customer Success and cross-functional teams to drive customer value, manage risks, support expansion, create scalable resources, and mentor team members while serving as an escalation point.

Own the Admin Workflows area of 1Password’s Enterprise Password Manager, defining a roadmap for administrator capabilities, dashboards, reporting, notifications, recovery, user confirmation, and MCP features. Partner cross-functionally with Engineering, Design, Marketing, and go-to-market teams to ship API-centric enterprise features, address customer problems, drive business outcomes, and measure product success. The role requires strong cybersecurity expertise, technical API knowledge, leadership, communication, and enterprise product management experience.

Lead GitLab’s company-wide strategy for autonomous, agentic software development workflows. Identify and validate AI opportunities across the SDLC, build prototypes and reference architectures, establish evaluation frameworks and safety controls, and drive internal adoption. Partner across Engineering, Product, Infrastructure, Security, Architecture, and Data and ML teams to scale reliable, observable, compliant agentic capabilities into customer-facing products. Mentor senior technical leaders and represent GitLab externally on AI-assisted development and productivity measurement.

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.

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.

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.