Top Machine Learning Jobs in Toronto

As a Senior Data Scientist/Machine Learning Engineer, you'll lead efforts in improving product listing quality using ML/AI techniques, addressing challenges in text and image quality, and collaborating across teams to enhance brand-retailer experiences.

The Director of User Experience will lead a UX and Product Design team, champion user perspectives, integrate AI design principles, and manage multiple projects to create innovative user experiences across platforms.

Execute audit assignments, assess risks, manage communication with stakeholders, mentor junior staff, and drive digital transformation initiatives.

The consultant will implement, configure and support ServiceNow HR modules, optimize platform performance, and provide training and documentation for stakeholders.

This internship involves developing AI solutions for risk management, requiring collaboration with business users to translate needs into technical problems, while utilizing machine learning and deep learning techniques.

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

Utilizes advanced algorithms to analyze data, builds predictive models, collaborates on data strategies, and maintains data pipelines. Guides business decisions through data insights.

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

As a Distinguished Engineer, you'll lead security technology initiatives, providing expertise in architectures and driving the technology vision for Equinix's infrastructure. You'll focus on developing next-gen technologies and serve as a mentor within the technical team.

The Senior Consultant, Digital Strategy manages GenAI and ML initiatives, develops digital channels for CAM clients, and oversees projects from ideation to implementation. They collaborate with AI scientists, drive efficiencies, and present initiatives to senior leadership while ensuring alignment with the digital strategy.

The IT Internal Audit Assistant Manager evaluates IT security controls, manages audit projects, and prepares reports while fostering risk awareness and improvements.

Lead and develop the Data Loss Prevention Team, establishing strategy and overseeing implementation of DLP tools to enhance security and efficiency at Coinbase.

As a Staff Machine Learning Engineer at Coinbase, you will define technical strategies, design ML models for risk assessment, create real-time ML pipelines, and deploy models at scale to optimize operations and enhance user security.

Lead the Payments Risk engineering team at Coinbase, develop strategies, mentor team members, ensure code quality, and collaborate with cross-functional teams to manage financial risks.

The role involves prototyping AI technologies, conducting analyses on workforce data, automating reports, and collaborating to translate business needs into analytical solutions.

Lead the delivery of AI initiatives, manage programs, facilitate Agile practices as a Scrum Master, and oversee AI model governance to ensure compliance and business efficiency.

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.

The Senior Product Manager will lead the vision, strategy, and execution of AI Contract Intelligence features, collaborating with teams to drive product development and market analysis.

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

The Senior Research Engineer will develop and deliver scalable ML solutions, build data processing pipelines, and communicate effectively within a collaborative team, while innovating through modern software development practices.

The Senior Applied Scientist will design and deliver AI solutions, manage model development, communicate research, and collaborate across teams to translate user needs into technical requirements.

As a Research Scientist Manager, you will lead a global team in foundational research, focusing on AI systems, LLM training, data-centric ML, and innovation through collaboration, experimentation, and publication of findings.

Lead and manage a research team focused on foundational ML research and development, particularly for LLMs, in collaboration with academic partners. The role involves strategic planning, innovation, and contributions to high-quality research publications.

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.