Top AI Jobs in Vancouver

The role involves developing AI software solutions, integrating AI models, collaborating with teams, and mentoring junior engineers, focusing on video analytics.

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

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

Lead the end-to-end lifecycle of data-driven AI products, focusing on data products, agentic systems and knowledge graphs. Translate technical concepts into user stories, manage backlog and agile ceremonies, align cross-functional teams, and monitor model/data performance to drive continuous improvement and innovation.

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.

As a Senior Staff Software Engineer, you will architect AI-driven systems for software development, integrating AI tools to enhance workflows and optimize engineering productivity.

Build and own observability, lifecycle management, and tooling for LLM-powered features. Design closed-loop evaluation pipelines, dashboards for cost/usage/latency, tie user feedback to prompts, and establish prompt development, testing, deployment, and monitoring best practices while partnering across engineering teams.

As a Senior Software Engineer at Coinbase, you will drive AI adoption by partnering with teams to identify automation opportunities, develop prototypes, and implement scalable AI solutions while ensuring compliance with security and ethical standards.

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.

The role involves leading the vision and execution of Zapier’s AI Capabilities team, overseeing the development of AI platform infrastructure, collaborating cross-functionally, and translating AI capabilities into user-facing components.

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 shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

The AI Specialist in Marketing Operations will manage MarTech portfolio, integrate AI systems, enhance operations, and collaborate across teams.

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 Self-Service Program Manager, you will lead AI platforms for customer experience, driving innovation and improving performance metrics.

Lead the creation and operation of Coveo's Technical Success organization, ensuring technical customer outcomes and supporting enterprise AI adoption at scale through various technical teams.

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 North America Region Counsel will advise on complex infrastructure contracts, manage legal issues across project lifecycles, and enhance risk management and operational processes.

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.

The Product Manager will lead the development of AI-driven safety products, leveraging video data and collaborate with engineering, sales, and customers to enhance operations.

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.

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.

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