Top AI Jobs in Vancouver

Lead data collection sessions on campus for AI and robotics projects by recruiting participants and ensuring quality data capture.

The Data Scientist II will execute data science projects, partner with ML engineers, analyze A/B tests, and provide actionable insights.

Design, develop, and maintain high-performance, distributed AI software for edge hardware using C++, Go, and Python. Integrate and deploy AI models on-premise, work with video codecs and ML/computer-vision features, improve CI/CD pipelines, collaborate cross-functionally, mentor junior engineers, and uphold best practices for testing, code reviews, and documentation.

The role involves owning the product lifecycle, defining strategy, collaborating across teams, and engaging with customers. You'll drive AI-driven security solutions in SOC environments.

Lead technical vision and execution for enterprise AI, data, and automation initiatives. Architect and deliver scalable AI systems, data pipelines, and intelligent services; mentor engineers; drive cross-functional alignment, risk mitigation, and operational excellence; prototype solutions and influence org-wide strategy to maximize business impact.

As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.

Lead a team of Machine Learning Engineers and Data Scientists to design and deliver ML systems at Remitly. Collaborate across domains to implement MLOps best practices and contribute to AI strategy.

Lead the AI Platform team at Zapier, focusing on enabling product teams to ship AI/ML-powered features efficiently and safely.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

As a Senior Software Engineer on the AI Platform, you'll develop scalable AI systems, focusing on backend services, workflows, and integrations, partnering with cross-functional teams.

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

The Principal Product Safety Strategist leads the development of safety frameworks, ensuring product integrity and compliance while managing safety risks in evolving technologies, particularly AI, and guiding cross-functional teams in safety initiatives.

Lead the product vision and execution for AI-driven organization workflows, collaborating across teams to deliver innovative features and enhance productivity.

The Senior Applied AI/ML Scientist will lead customer-centric AI/ML feature development, collaborate with stakeholders, and deliver impactful solutions that improve business outcomes and customer experiences.

The Applied AI Engineer will develop AI-powered solutions, architect backend systems, integrate AI services, and collaborate with cross-functional teams to enhance business capabilities.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

Design and implement AI systems for team-based sports gameplay in Unreal Engine 5, focusing on decision-making and player behavior optimization, while mentoring other engineers.

Lead and scale Zapier's AI/ML organization by defining strategy, delivering ML products and platforms, coaching teams, enabling product partners, and ensuring safe, reliable, cost-effective model deployment and operations.

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.

As a Senior Data Scientist, you will influence product direction, collaborate with cross-functional teams, and leverage data analytics to drive AI product development.

The role involves leading product development for Video-based Safety using AI and ML, defining roadmaps, and collaborating with engineering and sales teams to enhance safety solutions.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.