Top AI Jobs in Toronto

The Legal Counsel will handle commercial matters, draft agreements, negotiate complex transactions, and ensure compliance with legal requirements in a fast-paced healthcare tech environment.

The Applied AI Engineer will develop AI-powered solutions, architect backend systems, integrate AI services, and collaborate with cross-functional teams to enhance business capabilities.

The Senior Data Scientist will leverage data-driven insights to guide product roadmaps, build foundational tools for AI/ML growth, and communicate findings effectively to influence business decisions.

Seeking a Senior Software Developer to design and develop full-stack applications, mentor developers, and drive architectural innovation for SOTI XSight.

The Claims Enablement Specialist drives innovation in claims processing, collaborates across teams, analyzes performance metrics, and supports strategic improvements.

Join Welo Data to provide high-quality AI datasets including annotation, labeling, and data collection in multiple languages.

Lead a team of engineers to design and implement AI features, improve user experience, and drive automation solutions with a focus on user needs and experimentation.

Lead the development and scaling of small language models for healthcare, managing data strategies, model training, and team operations, while ensuring ethical and clinical integrity.

The Product Manager will lead the development of AI-driven safety products, leveraging video data and collaborate with engineering, sales, and customers to enhance operations.

As a Senior AI Engineer, you will build advanced AI systems using LLMs, develop multi-agent systems, and optimize AI features impacting user productivity.

The Principal, AI Models will develop and scale small language models for healthcare, leading data curation, safety alignment, and model serving strategies. They will mentor a team and ensure ethical AI practices while collaborating across teams.

The Head of AI leads the design and implementation of AI initiatives, focusing on enhancing operations and customer experience. Responsibilities include strategy development, team management, product development, and compliance oversight.

The role involves designing and refining AI/ML models, conducting R&D on architecture and safety, and implementing advanced analytics for financial services.

Define product use cases and specifications, manage stakeholder interactions, and translate business needs into technical features ensuring alignment with banking operations.

Prepare and manage data, build ETL/ELT pipelines, and ensure data privacy and compliance for banking systems and related projects.

The AI Research Infrastructure Engineer will design, build, and implement AI systems and automated data pipelines for research, focusing on workflow automation and integration with tech stacks.

The role involves designing and implementing AI research infrastructure, building automated data pipelines, and integrating AI systems to enhance research efficiency and insights delivery.

Lead the development of AI evaluation systems at Dropbox, measuring quality and reliability of AI features, collaborating across teams, and defining metrics for product improvements.

As an AI Self-Service Program Manager, you will lead AI platforms for customer experience, driving innovation and improving performance metrics.

As a Senior Analyst, you'll manage trade affirmation, confirmation, and settlements for various public market transactions, ensuring accuracy and efficiency in operations while collaborating with internal and external stakeholders.

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.

As the AI Growth Lead, you will drive AI adoption at Coinbase, collaborating with teams to identify automation opportunities, design solutions, and ensure scalability while communicating the impact to stakeholders.

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 role involves building production-grade agent systems, designing scalable backend services, and collaborating with engineering teams on AI tools and blockchain technology.

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.