Top Machine Learning Jobs in Toronto

Lead the technical vision for ML personalization, addressing complex challenges and guiding teams toward innovative solutions in a large-scale environment.

The role involves establishing a technical vision for ML personalization, solving complex challenges, defining strategies, and leading initiatives across teams.

The Principal Machine Learning Engineer will lead the technical vision for personalization, architect ML systems, solve complex challenges, mentor engineers, and drive company-wide alignment on ML strategies.

The Principal Machine Learning Engineer will lead the personalization strategy and architecture for ML systems, solve complex challenges, and mentor senior engineers.

As the Principal Machine Learning Engineer, you will design ML architecture, solve complex challenges, mentor engineers, and set standards for ML systems across the company.

The Principal Machine Learning Engineer will define and execute the personalization strategy, solving complex ML challenges and mentoring senior engineers while driving innovations in ML architecture.

Lead a team of ML engineers to build personalization systems while driving improvements in model quality and collaborating across teams.

Lead a team of ML engineers to build personalization systems, architect complex ML solutions, and mentor team members while ensuring high model quality and technical excellence.

Lead a team of ML engineers to build personalization systems, focusing on technical and business impact while mentoring team members.

Lead a team of ML engineers to build personalization systems, driving technical excellence and business impact through hands-on development and leadership.

As the Head of Digital Critical Asset Management, lead the vision and delivery of digital solutions for Strategic Capacity Management, optimizing space and power usage through automation and data analytics.

The Director of Global Measurement Science will lead marketing measurement transformation and analytics, optimizing campaign performance through advanced analytics and AI, driving data-driven decision-making across the organization.

As a Senior Machine Learning Engineer, you will design and implement machine learning algorithms, build models, evaluate performance, and guide junior engineers to enhance AI functionalities across Atlassian products.

Manage engineering programs for generative machine learning models, ensuring cross-functional alignment, process improvement, and communication flow to enhance project execution.

Develop and optimize hardware and software ML inference systems. Collaborate with teams to improve architectural decisions and trade-offs for performance optimization.

The Data Scientist will conduct data analysis and modeling to support investment decisions, design data pipelines, and collaborate with teams to provide actionable insights.

The CEO and Co-Founder will validate and launch CondoCapital by shaping business strategy, raising capital, and assembling a team to tackle real estate challenges.

As a Principal MLOps Developer, you'll build scalable ML training pipelines, optimize training systems, and collaborate with AI researchers to innovate within the AEC industry.

The Principal Product Manager will oversee product vision and strategy for AI solutions at Autodesk, collaborating with cross-functional teams and acting as a customer advocate to drive product development and innovation. Key responsibilities include roadmap management, customer engagement, and monitoring industry trends, requiring extensive experience in product management and machine learning.

Design, implement, and improve modular components in a machine learning product. Collaborate with teams, customers, and apply Python expertise in a cloud environment.

The role involves innovating Generative AI solutions, leading software development lifecycle, and collaborating with teams for model development and deployment in large-scale systems.

As a Machine Learning Intern, you will lead projects, analyze data, write efficient code, and apply various ML techniques to solve problems at Pinterest.

Develop and refine advanced document AI models, tackle complex modeling challenges, lead LLM fine-tuning, and foster collaboration among teams to deliver impactful solutions.

The Senior Machine Learning Engineer will design and implement ML systems, optimize data pipelines, and collaborate on ML workflows for personal injury legal solutions.

The Staff Machine Learning Engineer will design ML systems, mentor engineers, work on AI product development, and improve legal data processing.