Top AI Jobs in Vancouver

The Senior AI Engineer will lead AI project architecture, build AI solutions, integrate systems, and promote MLOps best practices while collaborating with teams to apply AI in business contexts.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

As a Telerobotics Operator, you'll operate robots, gather data, troubleshoot, and ensure their functionality in varying settings, advancing AI development.

Lead the Perception engineering team, focusing on full-stack development, project management, and driving engineering excellence to support AI systems.

The Associate Product Marketing Manager- AI will shape product positioning, create content, lead GTM strategy, enable sales, and conduct market research.

Develop and implement messaging and positioning for AI products, create marketing content, lead go-to-market strategies, and analyze market research.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

The Product Manager will evaluate and manage relationships with LLM models, define product strategy, and coordinate cross-functionally to enhance customer experience while driving product roadmap and adoption.

The AI Outcomes Manager will collaborate with executives and users to transform organizations into AI-native enterprises, enhance customer engagement, and develop deployment strategies.

Lead business development and strategy for AI infrastructure, focusing on cloud compute buyers and establishing strategic partnerships in the technology ecosystem.

Manage AI and ML solutions, leading model development and deployment while mentoring engineers and collaborating with cross-functional teams.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

The AI-First Data Scientist will design and deploy ML solutions, conduct causal analysis, and partner with business leaders to drive AI integration into decision-making.

Lead the fullstack development of Glean's Generative AI products, managing and mentoring engineers while driving product improvements and team growth.

Lead complex content strategies for digital ecosystems, addressing user needs and business goals through scalable architecture and governance models. Collaborate across teams, conduct audits, and advise on AI capabilities, ensuring clarity and effectiveness in content systems.