Top AI Jobs in Toronto

As an AI/ML Engineer, you will design and implement agentic systems, develop multi-agent workflows, and collaborate with senior engineers to optimize AI techniques.

Design and deliver scalable machine learning infrastructure and pipelines for AI/ML models, ensuring data integrity and collaborating across teams.

The Applied AI Research Scientist will work on AI projects, enhancing capabilities in deep learning, NLP, and systems based on foundation models while collaborating with various teams and staying current with AI advancements.

Join League as an AI Engineer Co-op, collaborating with teams to design and optimize machine learning pipelines and improve data quality using AI techniques.

Design and build AI infrastructure platforms, enhance developer workflows with AI automation, and establish best practices for AI usage. Collaborate across teams to deliver scalable AI solutions while mentoring and implementing cost management systems.

As Lead Edge AI Engineer, you'll architect edge-AI pipelines, build developer-friendly APIs, optimize performance, and mentor engineers while collaborating on decentralized AI solutions.

The Manager, Artificial Intelligence will lead AI projects, manage a software engineering team, and ensure successful deployment of solutions in the insurance sector.

The Senior Architect will design platforms for Generative AI, develop solutions, maintain architecture governance, collaborate with teams, and manage integration strategies.

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.

As Director of AI Innovation Hub, you will lead AI integration efforts, influence business transformation, and manage a team to deliver measurable impact through innovative AI solutions.

The AI Developer II role involves developing microservices, APIs, and AI-based software products, collaborating with data scientists, and integrating DevOps practices.

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 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.

The Director will lead the adoption of AI analytics and autonomous systems, integrate data for insights, manage technical governance, and drive collaborative innovation in AI technology.

As a Senior AI Scientist, you will develop, deploy, and scale AI models to enhance customer-centric marketing efforts and improve decision-making.

The AI Scientist role involves applying artificial intelligence, machine learning, and natural language processing to solve business challenges, collaborating with various teams to produce end-to-end data solutions.

Serve as the finance partner to the SVP of Autodesk Research, managing investments in Generative AI while building financial models and coordinating across finance teams.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Seeking senior technology leaders for advisory roles on AI product decisions, requiring expertise in AI/ML at scale, system design, and producing decision-ready artifacts.

The Legal AI Product Specialist role involves working with Product Managers and Data Science teams to optimize contracts, manage datasets, and analyze legal data. Responsibilities include resolving issues, improving processes, and updating documentation.