Top AI Jobs in Montreal

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.

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

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.

Lead the engineering team focused on transforming Autodesk.com into a digital growth platform. Oversee execution and technical leadership, collaborating across functions to drive customer acquisition and trial conversion.

As a Tech Lead in AI Software Development, you will lead system design, mentor developers, ensure quality delivery, and collaborate with cross-functional teams to deliver impactful AI solutions.

The Senior Software Engineer will develop and optimize backend systems for AI applications, focusing on text-to-speech technology, managing cloud infrastructure, and ensuring high availability.

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.

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.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

As a Staff Forward Deployed Engineer, you'll bridge technical gaps between large models and clients, ensuring successful deployments in drug discovery and simulations.

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.

The Senior Software Development Manager will lead a team to drive the technical vision for the Elastic Agent Builder platform, focusing on AI agent development, team management, and collaboration with other teams.

The Applied AI Engineer will develop end-to-end proofs-of-concept for AI integration, prototype systems rapidly, and collaborate with research and backend teams to deliver functional demos and documentation.