Top AI Jobs in Vancouver

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

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 the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

Join Atlassian as a PhD AI Research Intern, focusing on advanced machine learning and AI technologies. Collaborate with experts, curate datasets, train models, and contribute to academic publications in a supportive team environment.

The AI Developer will create machine learning solutions for public safety, working through the machine learning lifecycle from data curation to deployment. Responsibilities include developing systems for speech-to-text, natural language processing, and collaborating with various teams for scalable product development.

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.

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 a team of engineers to design and implement AI features, improve user experience, and drive automation solutions with a focus on user needs and experimentation.

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.

Lead and execute outbound marketing campaigns using product engagement data to prioritize outreach efforts, improve messaging, and enable sales effectiveness.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

The Enterprise Account Executive will develop relationships with key decision-makers at Fortune-class enterprises, drive sales growth, and deliver solutions for voice call management to enhance customer experience.

As a Senior Engineer, you will support and rebuild Braze's AI Decisioning product, integrate it with APIs, and enhance user 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.

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

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 strategic AI and ML initiatives for Tidal by developing personalization systems and collaborating with cross-functional teams. Responsible for technical leadership and system architecture.

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

The AI Specialist will manage MarTech solutions, integrate AI/ML in marketing, design no-code applications, and optimize processes across teams.

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.

The Senior AI Operations Product Manager will define AI product strategy, manage the product roadmap, translate business needs into technical requirements, and guide agile development processes for AI solutions at Motive.