Top Machine Learning Jobs in Toronto

Manage product strategy for search and embedding models, focusing on performance, user needs, and market competitiveness while collaborating with cross-functional teams.

Lead the design and implementation of AI-driven forecasting and financial modeling systems, collaborating across teams to enhance decision-making and operational reliability.

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

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 Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

The Technical Recruiter will manage full-cycle recruiting for technical and product roles, ensuring a strong pipeline of candidates and a high-quality candidate experience while using data to improve processes.

The Senior Engineering Manager will lead a cross-functional team to develop growth product solutions, manage engineering processes, and enhance operational efficiency.

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.

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

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.

Develop end-to-end software agents as collaborative AI teammates to empower engineering teams in solving complex challenges.

Develop scalable machine learning models, collaborate with DevOps and Data teams, create proofs of concept, and ensure high-quality software development.

The Senior Data Scientist II will develop machine learning models and collaborate with teams for data-driven decisions, enhancing data science methodologies.

Lead the development of AI-powered solutions for legal teams, driving product strategy and collaborating with cross-functional teams to enhance user experience.

The Senior Machine Learning Engineer will enhance mapping capabilities using ML, collaborating with cross-functional teams, analyzing data, developing models, and deploying solutions.

The Account Executive will drive business development in Financial Services, focusing on Google Cloud Solutions to expand client relationships and achieve revenue targets.

The role involves building machine learning models to detect risky activities, collaborating with cross-functional teams, and enhancing modeling capabilities. Candidates should have extensive experience in machine learning and strong analytical skills.

Seeking a Senior Staff Machine Learning Engineer to lead AI/ML model design and implementation for fraud detection and risk management, collaborating across teams to enhance security systems.

As a Senior Machine Learning Engineer, you will own a risk domain, architect ML systems, mentor engineers, and apply advanced ML methodologies to enhance security measures against fraud and scams.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance security, improve model performance, and respond to new threats in the Coinbase platform. Responsibilities include collaborating with stakeholders and applying advanced ML techniques.

The Product Manager drives digital transformation by managing product development, collaborating with stakeholders, and utilizing data to create effective digital solutions.

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.

Lead strategic AI and ML initiatives for Tidal by developing personalization systems and collaborating with cross-functional teams. Responsible for technical leadership and system architecture.

The Engineering Manager leads engineering teams to develop mapping services, ensuring high quality and timely delivery while fostering professional growth and collaboration.