Top Machine Learning Jobs in Toronto

As a Customer Success Manager, you will drive customer satisfaction and retention, expand account revenue, and facilitate value generation for clients in the financial services industry.

Lead Data Scientists manage data science projects, collaborate with stakeholders, implement data strategies, and ensure data quality while mentoring junior team members.

Develop and commercialize firmware for neural network processing on ARM-based processors. Design embedded software for real-time processing, manage buffer interrupts, and optimize compilers.

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 Solution Consultant will handle technical sales processes for retail and consumer goods by collaborating with diverse teams, conducting demos, and ensuring client satisfaction through tailored solutions and value-based selling.

As a Senior NLP Research Engineer, you will advance AI capabilities in legal workflows by developing retrieval systems, ranking strategies, and evaluation frameworks, and leading complex research projects with minimal supervision.

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.

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

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

Lead the development of AI agents and their platform, including LLM training, backend infrastructure, and technical leadership across teams.

As a Senior Associate in Business Operations, you will support data-driven decision-making for growth strategies, lead A/B testing, and optimize processes.

As a People Operations Associate, you'll support the employee lifecycle from onboarding to managing transitions and organizing events, ensuring effective communication and data accuracy.

Lead AI-driven personalization programs aimed at enhancing user experiences within Autodesk's AEC products. Collaborate with various teams to deliver intelligent features and manage program execution.

The Senior Product Manager will lead Sanofi's global data platform, defining strategy, managing execution, advocating for user experience, ensuring governance, and driving cross-functional collaboration.

The Senior Data Engineer will develop and maintain MaintainX's data platform, implement data pipelines, ensure data governance, and collaborate with engineering teams.

The role involves designing AI solutions, collaborating with stakeholders, and evaluating client needs. Architectural decisions must ensure scalability and alignment with business goals while mentoring junior engineers.

Lead end-to-end design for invoicing and financial workflows, using customer research to define strategy, prototype and launch AI-powered features, improve design systems, mentor teammates, and drive cross-functional alignment to improve product and business outcomes.

The Data Scientist will analyze customer health, conduct quantitative research, develop insights for teams, and inform strategy based on data analysis.

The Senior Forward Deployed Engineer will deliver technical solutions using AI, engage with customers, and lead project lifecycles while mentoring junior engineers.

Design and implement scalable data pipelines and ML algorithms to optimize StackAdapt's digital advertising platform. Collaborate with teams to solve complex problems.

Lead the exploration and development of Generative AI capabilities for the AEC industry, collaborating with various internal teams and managing project requirements and updates.

Conduct advanced AI research, develop new algorithms and scalable solutions, mentor junior staff, and publish findings in top-tier venues.

The Senior Machine Learning Engineer will design, build, and deploy AI agents, advance ML systems, and mentor junior engineers.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

The Bilingual Analyst will analyze financial datasets, perform exploratory data analysis, design dashboards, and collaborate with teams to provide insights and strategic recommendations.