Top Machine Learning Jobs in Toronto

Join PointClickCare as a Principal Applied Researcher to leverage AI and NLP in developing healthcare solutions, collaborating with teams to enhance decision-making and care delivery.

The Senior Sales Engineer will drive pre-sales success, design AI solutions, run demos, and guide enterprise customers in using H2O.ai's platform for AI adoption.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.

The Senior Principal Researcher will lead AI research initiatives, mentor teams, translate research into scalable systems, and represent Huawei in the global AI community.

As a Lead Applied Scientist, you will define research strategy, mentor teams, and innovate AI/ML solutions for legal and other professional sectors.

Partner with Marketing, Sales, and Finance to optimize pricing, promotions, and trade spend. Perform pre/post-event analysis, price elasticity modeling, and reporting. Support pricing strategy, data transformation, RGM tools, SOPs, and cross-functional execution to drive profitable growth.

The CTO will lead Fathom's technical strategy, focusing on AI governance, building partnerships, defining standards, and advancing AI safety practices.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

Lead the design and implementation of AI-driven fraud prevention strategies, balancing user experience with security to protect user data and prevent unauthorized access.

Lead the evolution of the recommendations engine system into a scalable distributed architecture, ensuring production stability and performance while mentoring engineers and collaborating with ML teams.

Lead development and production of underwriting and credit decisioning models across Cash App Borrow and Afterpay. Own full modeling lifecycle: problem formulation, feature engineering, training, calibration, experimentation, deployment, monitoring, and iteration. Build decision frameworks, agentic engineering workflows, and collaborate with cross-functional partners to align model behavior with business and regulatory goals.

The Senior Solution Consultant will handle technical sales processes for retail and consumer goods by collaborating with diverse teams, conducting demos, and ensuring client satisfaction through tailored solutions and value-based selling.

Senior individual contributor building and maintaining underwriting and credit decisioning ML systems for Cash App Borrow and Afterpay. Responsibilities include feature engineering, model training, calibration, experimentation, deployment, monitoring, and portfolio-level analysis. Collaborate with cross-functional teams to align models with business and regulatory goals and develop AI-native engineering workflows and governance for reliable, auditable model development.

Lead design and delivery of analytics, dashboards, models and AI solutions to support operational risk. Translate stakeholder needs into technical solutions, analyze structured and unstructured risk data, build visualizations and automation, ensure governance and model monitoring, and collaborate across risk, data and technology teams.

The Senior Product Manager will drive the AI product roadmap for Revenue Cycle Management, overseeing product lifecycle and collaboration with various teams to enhance billing workflows with AI integration.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.

Develop and commercialize firmware for neural network processing on ARM-based processors. Design embedded software for real-time processing, manage buffer interrupts, and optimize compilers.

Lead and operationalize AI delivery across internal teams and client engagements: embed AI-enabled workflows, define playbooks and governance, mentor delivery teams, support pre-sales and solutioning, and drive production-grade AI solutions with measurable business outcomes for mid-market and enterprise clients.

Use legal training to create and evaluate AI training data and relevance evaluations. Perform legal research and analysis, provide actionable feedback, support senior team members, present to stakeholders, and advocate for Responsible AI.

The Cloud Inference Engineer is responsible for building and maintaining a scalable LLM inference platform, focusing on distributed systems and machine learning technologies while collaborating across teams to optimize performance.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

Build, optimize, and embed machine learning models for on-device inference within a Go-based detection engine. Own models end-to-end: deploy, monitor performance, detect drift, iterate, and resolve production issues while collaborating with systems engineers and stakeholders.

Lead commercial pipeline for quantum algorithms and applications: identify opportunities, pitch capabilities, convert to funded engagements, manage proposals, pricing, contracts, and oversee delivery while coordinating between research teams and external partners.

The Senior Data Engineer will develop and maintain MaintainX's data platform, implement data pipelines, ensure data governance, and collaborate with engineering teams.

Lead AI-driven personalization programs aimed at enhancing user experiences within Autodesk's AEC products. Collaborate with various teams to deliver intelligent features and manage program execution.