Top AI Jobs in Vancouver

As an SMB Solutions Architect, you will guide small and mid-sized customers in using the GitLab DevSecOps platform to achieve technical and business goals, collaborating with cross-functional teams and Account Executives to ensure customer success.

As a Senior AI Native Software Engineer, you'll build AI-powered tools and applications, ensuring security and quality while mentoring other engineers and driving best practices in AI development.

Design and build backend services in Go on AWS for AI/ML workloads; enhance core AI/ML platform offerings; collaborate across teams to deliver end-to-end ML infrastructure solutions.

As a Sr. AI Engineer, you will develop generative AI applications for sales operations, enhancing efficiency and personalization. Responsibilities include building GenAI tools, developing AI-powered insights, and collaborating with cross-functional teams.

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.

As a Senior Data Scientist at Dropbox, you'll shape AI product strategies, collaborate with cross-functional teams, and leverage data insights to drive impactful decisions.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

The Senior Machine Learning Engineer will design, build, and deploy AI agents, advance ML systems, and mentor junior engineers.

The Senior Software Engineer will build and scale AI platforms, work on backend distributed systems, and improve software architectural patterns while collaborating with various teams.

As a Staff Software Engineer, you'll develop and improve the AI platform for real estate, working on APIs, services, and collaborations to enhance user experiences.

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

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

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.

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

Build and evolve core AI platform capabilities: design shared execution patterns, APIs, and backend services to support multi-step GenAI workflows, model integrations, and scalable production systems. Collaborate with AI engineers, data scientists, and product partners to turn emerging AI use cases into reliable, extensible platform features.

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.

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

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.

Manage and optimize digital customer success programs throughout the customer lifecycle, focusing on onboarding, activation, and adoption. Lead campaign strategy and execution, use analytics for performance improvement, and collaborate cross-functionally to enhance customer outcomes.

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.

The Lead Product Marketing Manager will define product marketing strategies, drive go-to-market initiatives, mentor a marketing team, and enhance sales enablement to elevate market presence and drive revenue.

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.