Top Machine Learning Jobs in Toronto

Architect and develop software innovations for Quartus, focusing on optimization algorithms for FPGA tools, enhancing routing and retiming capabilities.

The Senior Product Designer will create intuitive tools for personal injury lawyers, focusing on user insights and collaboration across teams to enhance legal workflows using AI.

As a Senior Software Engineer, you'll automate and enhance business processes, mentor team members, and ensure high-quality system design across various backend applications.

Lead technology initiatives in data lifecycle management, drive technology vision and architecture, and serve as a mentor within Equinix and the industry.

As an Account Executive, you'll manage the sales cycle for enterprise customers, design sales strategies, and collaborate with technical teams to drive revenue growth.

The Customer Success Manager ensures client satisfaction by managing projects, building relationships, and facilitating communication between clients and internal teams to drive technical guidance and business opportunities.

As a Product Manager, you will drive product strategy, manage product lifecycle, utilize AI/ML technologies, and collaborate across teams to build scalable solutions for customer needs.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As Senior Director of Product Management, you will guide the vision and delivery of DealCloud for Legal, enhancing its applications for law firms by collaborating with stakeholders and leading a product development team.

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.

As a Senior Product Manager for Sanofi's Global Data Platform, you'll define product vision and strategy, manage execution and delivery, ensure user advocacy, ensure compliance, and lead cross-functional teams to drive digital transformation through data and AI solutions.

Design and maintain ML pipelines, build data ingestion tools, collaborate with data teams, ensure data quality, and solve technical challenges in a fast-paced environment.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Senior Data Scientist will optimize customer onboarding using machine learning and generative AI, design models, and collaborate with engineering.

As an ESG & CSR Responsible AI Intern, you'll develop AI ethics principles, collaborate with teams, conduct audits and promote transparency in AI practices.

The Digital Senior Director leads AI product management, developing go-to-market strategies, driving revenue, and managing client relationships within the Education and Research sectors.

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

Lead a team of engineers to develop Dropbox’s AI product, Dash. Focus on operational excellence, data-driven decisions, and team growth.

As a Data Scientist II, you'll develop data-driven solutions using machine learning, collaborate cross-departmentally, and maintain data mining tools to deliver actionable insights.

Lead Scribd's product strategy for a new Discovery product organization, focusing on search and recommendations through advanced ML systems and user-centered design. Mentor PM teams, oversee the development of AI-driven features, and align product vision with business goals.

Lead a team of AI Engineers to develop AI Orchestration for healthcare solutions, ensuring delivery, agile processes, and collaboration with various teams.

Lead model development projects focusing on credit risk scorecards, analyze data, develop model documentation, and communicate findings to stakeholders.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

As a Platform Architect, you will design and implement a scalable AI technology platform and collaborate across teams to meet user requirements and business objectives.