Top AI Jobs in Montreal

Design and build AI-powered experiences for Dropbox, collaborating across teams to integrate AI features and simplify user processes. Engage in production delivery and on-call service.

As a GTM AI Engineer, you'll develop and maintain internal AI tools, prototyping and scaling solutions for sales teams, and ensuring UX best practices.

The role involves designing and building AI-powered experiences in Dropbox, collaborating across teams, and shipping features to enhance user interactions.

The Staff Machine Learning Engineer, Edge AI leads the development of embedded solutions, implements AI algorithms on edge devices, and influences the engineering culture, requiring strong expertise in multimedia frameworks and software development.

As an Intermediate Backend Engineer at GitLab, you will develop AI capabilities, collaborate in an agile environment, maintain code quality, and support the team with troubleshooting. Experience in Python and knowledge of AI technologies is essential.

The software engineer will design and deploy AI-powered automation, enhance user experience, and implement LLM-backed features in collaboration with teams.

Design and implement AI systems for customer support and compliance, oversee project priorities, mentor peers, and ensure high-quality code delivery.

Lead and manage the Focal engineering team focused on AI-powered insights. Oversee software development, technical strategy, and ensure the platform's scalability and security.

As an AI Gameplay Programmer, you will design, implement, and maintain gameplay systems for a AAA medieval fantasy game, focusing on collaboration, prototyping, and optimization.

As a Software Developer, you will design and develop data pipelines for AI solutions, collaborating with teams on scalable distributed systems and ensuring software quality through tests and reviews.

Develop and enhance Autodesk's AI/ML platform by designing systems, automating processes, and ensuring scalable deployment of machine learning solutions, collaborating with cross-functional teams.

Develop and deploy AI-powered applications using LLMs, ensuring integration with web apps, performance optimization, and collaboration with cross-functional teams.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

As a Frontend Engineer at Mozilla, you'll build user interfaces for Firefox, collaborate with teams, enhance code quality, and contribute to engineering practices.

As a Senior AI Applied Engineer at Vanta, you will enhance AI offerings, improve systems, and set technical strategies for ML/AI architecture, collaborating with product and engineering teams.

Design and build a multi-agent AI framework for banking, focusing on low-latency distributed systems and real-time inference, collaborating with teams to ensure safety and trust.

As a Staff Fullstack Software Engineer, you will design and develop AI-driven applications to enhance user experience in data analytics, while providing technical leadership and mentorship.

Design and develop scalable data infrastructure for AI platform, optimize database performance, create data pipelines, and mentor junior engineers while collaborating across teams.

Design, scale, and maintain a cloud-native infrastructure for electricity trading operations, focusing on data pipelines, automation, and AI integration.

The Staff Software Architect will lead the architecture and development of AI-driven financial solutions, collaborate with cross-functional teams, and promote engineering excellence.

Lead frontend development for an AI-driven finance platform, architecting systems, mentoring engineers, and collaborating across teams to build and scale products.

Lead architectural design and technical strategy for open-source AI solutions, ensuring successful delivery and client engagement while providing technical advice and risk management.

As an Applied AI Engineer, you will build and maintain systems for AI agent behaviors, integrate applications, and ensure reliability and user feedback mechanisms.

The Senior Machine Learning Engineer will design and build ML systems, collaborating with cross-functional teams to enhance AI insights and deliver efficient data processing solutions.

As an Infrastructure Engineer at Glia, you will manage cloud-native infrastructure, ensure system performance, automate processes, and collaborate on security compliance projects.