Top Machine Learning Jobs in Toronto

The Director of Machine Learning will lead a new ML team, managing strategies for Document Generation and AI systems while collaborating with Product and Engineering.

The Machine Learning Researcher will develop and deploy advanced machine learning models, collaborating with industry experts to innovate in AI for creative applications.

Support and integrate perception algorithms in self-driving vehicles, ensuring code quality and solving integration challenges across multiple sensor modalities and deep learning models.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

The Senior AI/ML Scientist will research and develop cutting-edge AI technologies, particularly in LLM and Agentic AI, to enhance Vanguard's business operations and client experiences through innovative solutions.

The role involves designing and implementing AI/ML platforms on Azure and GCP, ensuring compliance and security, and collaborating with engineering teams to automate operations and enhance AI services.

Lead AI strategy and execution by managing a team of Data Scientists and ML Engineers. Oversee the deployment of LLM-based applications, drive product-led AI initiatives, and ensure cost-effective solutions.

The AI/ML Engineer will develop scalable AI/ML solutions, optimize ML models, manage deployment pipelines, and collaborate with cross-functional teams for responsible AI applications.

The Applied Machine Learning Research Scientist will translate ML techniques into scalable systems, improve LLM performance, and optimize workflows while collaborating closely with researchers and engineers.

The role involves building AI-powered platform frameworks, maintaining AI/ML pipelines, collaborating with infrastructure teams, and ensuring model quality using various tools and monitoring practices.

Drive net-new enterprise logo acquisition by selling Findems People Intelligence platform. Target HR, Talent Marketing, and Recruiting teams, mapping CRM and marketing automation practices to talent pipeline modernization. Manage complex, multi-stakeholder sales cycles, build ROI-driven business cases, collaborate with internal teams, and forecast and close multi-product, multi-year contracts.

Design and develop scalable microservices, provide technical leadership to scrum teams, lead technical evaluations, adopt AI tools to automate development, and implement ML/AI models and performance optimizations.

Develop and deploy AI solutions for enterprise clients, focusing on large language models and agentic systems integration while ensuring quality, scalability, and security.

The role involves designing and implementing a data and ML platform, optimizing data ingestion, and driving ML workflows, ensuring scalability and reliability.

The Senior Staff Machine Learning Platform Engineer will define ML platform architecture, drive standards, mentor engineers, and improve scalability and performance.

Lead the development of AI agents, focus on LLM training and evaluation, architect the agentic platform backend, and provide technical leadership across teams.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

The role involves architecting deep neural networks for object detection and tracking, optimizing performance, and developing data strategies in a low-data environment.

Collaborate with engineers to build AI design systems, optimize data infrastructure, and manage large-scale distributed systems for model development.

As a Customer Engineer, you'll bridge technical problems and client needs in analytics and ML, designing data solutions and ensuring high-quality feature delivery.

The Associate Product Manager will work with analytics, ML, and product teams to develop features based on data insights, ensuring effective data management and customer outcomes.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

The Senior AI Research Scientist will advance AI research, develop algorithms, analyze data, and collaborate on business optimization for Vanguard's AI initiatives.

Conduct innovative AI research focused on Large Language Models and Responsible AI, collaborating with teams to develop algorithms and solutions for business challenges.

Responsible for software integration and quality for Cerebras AI platform, focusing on automation, debugging, and cross-team collaboration. Develops QA strategies and testing methodologies to ensure product quality.