Top AI Jobs in Ottawa

We are seeking a Senior Software Engineer specializing in AI to enhance our Website Experience Platform. Responsibilities include developing AI-driven solutions to optimize web experiences for users. This role involves collaboration with teams to deliver performant digital experiences, focusing on customer trust and quality delivery.

Design and build AI-driven developer tools, integrate third-party AI models, mentor engineers, and improve AI coding agents to enhance software development processes.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

Lead and mentor the research team to deliver strategic insights, influence product roadmaps, and ensure research quality across platforms.

The Engagement Manager will drive customer adoption of AI solutions, ensure successful deployments, and build strong relationships with enterprise clients to achieve transformational value with AI tools.

Join Atlassian as a PhD AI Research Intern, focusing on advanced machine learning and AI technologies. Collaborate with experts, curate datasets, train models, and contribute to academic publications in a supportive team 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 Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

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

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

The Senior Associate Consultant will manage CLM implementation projects, develop strategic roadmaps, and optimize CLM services for corporate clients, focusing on client advisory and technology assessments.

The Director of Client Operations will manage enterprise client relationships, oversee project execution, and ensure operational excellence for workforce development programs, while identifying opportunities for growth.

The role involves ensuring the reliability of Veeva AI Agents through evaluation strategies, LLM output integrity assessments, and automation of evaluation pipelines while debugging and reporting performance metrics.

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 Staff Applied AI Scientist develops AI and machine learning systems for cybersecurity, managing the full lifecycle of language models and ensuring production-grade performance.

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

The AI Application Developer will design and deliver AI-driven applications, develop AIOps solutions, analyze datasets, and optimize operational workflows. They will also validate AI/ML models and implement best practices for AI solution development.

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 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 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.