Top Machine Learning Jobs in Vancouver

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

Lead strategy and roadmap for platforms that deliver personalized, scalable promotional experiences. Partner with Engineering, Marketing, Data Science, and Analytics to build dynamic offers, experimentation, machine learning-driven targeting, and measurement. Drive discovery, launch, iteration, and integrations while ensuring responsible gaming and measurable business impact.

The Senior Software Developer will architect and develop AI software solutions using Golang and C++, deploying AI models and improving CI/CD pipelines while collaborating with teams.

As a Staff ML Engineer, you'll design and operate Samsara's ML platform, partnering with teams to deliver scalable ML solutions that enhance safety and efficiency in physical operations.

Lead teams in building end-to-end AI products focused on computer vision and sensor data. Oversee model lifecycle, data management, and deployment. Drive innovation in AI while fostering team development and ensuring customer success.

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

The Machine Learning Engineer will design and maintain ML models to identify risky transactions, build reliable feature pipelines, and optimize model performance.

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

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.

The Senior Software Development Engineer will build backend services in Go on AWS, enhance AI/ML platform offerings, and drive infrastructure optimization for scalable products.

Lead and mentor a multidisciplinary UX/Product Design team to create strategy-driven, visually excellent experiences across owned and third-party platforms. Integrate AI and machine learning into UX, design conversational/agent interfaces, run workshops, manage high-visibility client projects, recruit and grow the team, and represent the agency externally.

Lead and grow a multidisciplinary UX and Product Design team to deliver visually excellent, research-driven, and AI-enabled experiences across owned and third-party platforms. Guide strategy, mentor designers, run workshops, represent the agency to clients and conferences, and integrate AI/ML and conversational design into products while ensuring accessibility and design system best practices.

The Project Manager will lead generative AI workflow projects in VFX, collaborating with teams to ensure efficient delivery and production-ready tools, while maintaining project documentation and stakeholder communication.

As a Senior AI Programmer, you'll develop AI systems for interactive projects, collaborating with teams to optimize performance and design.

The Senior Product Manager will lead product strategy and execution for Agworld's SaaS platform, focusing on core workflows, data-driven capabilities, and product redesigns. Responsibilities include developing key features, conducting customer discovery, and collaborating cross-functionally with teams to ensure product success and revenue growth.

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.

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning models, lead data analysis, and implement MLOps practices within the AI Core team.

The AI Product Manager will define product vision, drive AI initiatives, collaborate on scalable AI solutions, and lead strategy execution across teams.

The Senior ML/AI Modeler will automate risk investigations using AI, improve productivity through technology, and deploy ML systems at scale, while collaborating across teams to enhance performance and decision-making.

The role involves developing and deploying AI systems to automate risk and compliance processes, and driving strategic initiatives across teams to enhance productivity and decision-making.

Lead the design and development of issuer-side disputes, manage the end-to-end dispute lifecycle, and drive automation while mentoring a team.

Lead the Consumer Risk product for Affirm, focusing on Credit, Pricing, and Fraud, while managing a team of Product Managers and collaborating cross-functionally to drive product strategy and execution.

Oversee planning and execution of technical projects in operations, coordinating across teams to ensure smooth deployment and improve processes.

The Product Manager, AI Enablement will drive AI initiatives by analyzing operations, developing business cases, and ensuring responsible AI deployment across the organization.