Top AI Jobs in Montreal

As a Senior Full Stack Engineer on the AI Tasks team at Zapier, you'll design and build user-friendly AI features, collaborate with cross-functional teams, and own projects from inception to deployment, with a focus on creating real-world applications of AI in automation.

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

Lead AI Orchestration engineering at Zapier, managing teams to innovate AI solutions, shaping tech direction, and driving customer experience through applied AI engineering.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.

The role involves developing and implementing optimization solutions for logistics challenges, focusing on vehicle routing and resource management, while collaborating with teams and ensuring proper documentation.

Architect and build scalable, secure cloud-native services and AI workflows. Define model strategies, establish standards, and partner with cross-functional teams.

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

Lead the adoption of generative AI technologies in P&C insurance, develop methodologies, conduct workshops, and foster community practices.

As a Full-Stack Software Developer, you will work on generative AI tools for the AEC industry, enhancing workflows and collaborating with cross-functional teams.

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.

The software engineer will develop applications focusing on semantic search and retrieval, creating backend services and APIs, and collaborating closely with the team for improvements.

The AI Programmer will design and implement AI systems for game characters, collaborate with team members, write C# code, optimize AI systems, debug issues, and develop AI tools.

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.

Design, implement, and maintain gameplay systems in Unreal Engine, collaborating with teams to optimize performance and document code.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Design and build AI-powered full-stack applications while architecting core AI pipelines and contributing to strategic product features and workflow orchestration.

As a Senior Gameplay AI Programmer, you will develop core AI features, collaborate with various teams, optimize systems, and iterate on game design.

As a Senior Gameplay AI Programmer, you will develop core AI features, collaborate with various teams, optimize systems, and enhance player experiences in Unreal Engine games.

The Senior Fullstack AI Developer designs and develops back-end components, optimizes AI-driven platform performance, mentors team members, and ensures quality development.

The Senior Gameplay AI Programmer will develop and optimize gameplay AI features in Fortnite, collaborating with art and design teams, and ensuring high-quality user experiences.

Responsible for designing and implementing graphene-based chemical sensor systems, optimizing signal processing, and leading technical strategy in collaboration with co-founders. Will guide R&D and ensure technology meets real-world food science applications.