Top AI Jobs in Vancouver

Perform monthly commodity analyses for grains and vegetable oils using supply/demand data and market forecasts; build and manage market intelligence databases; develop and improve constraint-optimization price models and long-range forecasts; support CPRM hedging and coverage strategy decisions; track team KPIs and deliver insights to inform pricing and risk management.

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.

The VP of R&D will lead product development, manage teams across the US and Canada, ensure timely delivery of projects, and drive innovation in alignment with business strategies.

The Senior Research Analyst manages research projects, analyzes complex data sets, communicates findings, and prepares reports while ensuring quality control throughout the project lifecycle.

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.

Ownership of backend features for Agentic Tools: design and implement GraphQL/REST APIs, build secure scalable Ruby on Rails services, improve RSpec automated tests, collaborate across product and AI teams, participate in Tier 2 on-call, and shape architecture for AI agent interactions with GitLab.

Build, ship, and maintain backend features enabling AI agents to interact with GitLab. Design GraphQL/REST APIs, extend tests (RSpec), work with PostgreSQL, troubleshoot production issues, and collaborate cross-functionally to integrate AI tooling responsibly.

Lead vision, strategy, and execution for Motives AI camera hardware and firmware. Drive NPIs, prioritize firmware features, write technical PRDs, coordinate cross-functional teams, measure device and AI performance, and enable go-to-market readiness for large-scale connected video devices.

Own end-to-end product experiences across web and native mobile: set design vision, run user research, rapidly prototype (AI-enabled), write production frontend code, evolve design systems, mentor designers, and drive measurable product outcomes.

Lead end-to-end ownership of a major consumer product surface, set one-year strategy and quality standards, use AI-native tools to prototype and ship, mentor PMs, define KPIs, and drive measurable business impact while raising the team's AI-product craft.

Lead end-to-end product design across web and native, run user research, build rapid AI-enabled prototypes, write production frontend code, evolve the design system, and partner with PMs, engineers, and analysts to deliver delightful, outcome-driven experiences for parents.

Lead end-to-end consumer product journeys as a Senior PM while actively building AI-enabled prototypes. Define strategy, partner cross-functionally, measure outcomes, and embed AI-native workflows to speed discovery, prototyping, and delivery. Mentor peers and help establish AI-native PM practices across the organization.

Lead design and deployment of AI agents and workflow automations across Supply & Operations, coach and lead Operational Excellence (Lean/Six Sigma) projects, build OE capabilities, embed continuous improvement and AI-driven workflows into enterprise systems, and lead global OE programs and strategies in External Supply.

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.

The Principal Solutions Architect will lead technical architectures, drive AI-focused solutions, collaborate across teams, and mentor others to guide customers in maximizing GitLab’s DevSecOps platform's value.

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

As a GTM AI Engineer, design and execute AI-driven workflows for Superhuman's go-to-market stack, improving automation in sales processes and team collaboration.

As a Software Engineer II, you'll develop generative AI applications, enhance sales operations through AI tools, and collaborate with engineering teams on a remote basis.

The Staff AI Engineer will design and implement AI workflows, mentor engineers, ensure compliance and scalability in production AI systems using tools like LangGraph and LangFuse.

Drive sales of AI/HPC data center hardware to enterprise and cloud customers, leveraging existing networks and expertise to close deals and advise on solutions.

Lead design and delivery of production autonomous agents and agentic workflows: architect orchestration, integrate and optimize frontier LLMs, drive model fine-tuning and evaluation, mentor engineers, and translate business goals into safe, reliable, scalable AI-powered product experiences.

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

The Partner Manager will drive revenue growth through strategic partnerships, managing partner relationships, and collaborating with sales and marketing teams.