Top Machine Learning Jobs in Toronto

The Senior Applied Scientist will design and deliver AI solutions leveraging ML and NLP, managing model development and collaborating with stakeholders to align technical objectives with business needs.

As a Senior Staff Software Engineer, you will design scalable infrastructure for ML models, optimize performance, and collaborate with teams to enhance ML experimentation tools.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

As a Sr. ML/Edge AI Firmware Engineer, you will develop firmware for video safety products, manage production systems, mentor engineers, and drive architectural initiatives for camera-based systems.

The AI Engineer will develop and optimize AI solutions, focusing on LLMs, manage datasets, and collaborate with cross-functional teams to align AI/ML solutions with business objectives while ensuring data quality and performance.

The Principal Data Scientist at Sanofi leads in machine learning and advanced analytics, driving data-centric product development and overseeing cutting-edge analytical approaches while mentoring junior colleagues.

Develop machine learning models to detect and reduce fraud within Block's ecosystems, while collaborating with various teams to implement solutions.

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.

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 develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

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

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.

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.