Top Machine Learning Jobs in Vancouver

Lead end-to-end personalization initiatives: define problems, build and deploy machine learning and statistical models for recommendations and layout optimization, integrate scalable solutions with engineering and product, monitor performance, communicate insights to stakeholders, and mentor junior data scientists.

As a Senior Applied Scientist, you will implement Generative AI solutions for enhancing customer experiences, develop hybrid machine learning methods, and design scalable systems to tackle product challenges using complex datasets.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras. Oversee model lifecycle and ensure reliable features by collaborating across teams.

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 Marketing Manager will focus on the Public Sector, developing messaging and content, supporting sales enablement, and collaborating with teams to drive market success.

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 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.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

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.

Lead and manage a team of software engineers to develop innovative hardware, software, and AI solutions for physical operations, ensuring customer satisfaction and team growth.

Provide legal counsel on data privacy and security issues, support incident responses, and review product launches while 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.

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.

The Technical Workflow Designer will develop scalable workflows for visual content creation, integrating machine learning and ensuring high-quality outputs for film production.

Lead the vision and development of Machine Learning capabilities at Affirm, managing model lifecycles and fostering AI adoption across products and teams.

Lead the development of AI agent solutions, manage a machine learning engineering team, and ensure project delivery and integration with Workday.

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

This role involves developing advanced ML models for 3D reconstruction, optimizing performance, productionizing components, and collaborating with teams.

The role involves designing backend services for AI/ML workloads, enhancing core ML systems, and collaborating with teams to optimize infrastructure for scalable AI solutions.

The Product Manager - Analytics leads the strategy for analytics capabilities, collaborating with teams to create scalable solutions that improve mining operations.

As an AI & Automation Engineer, you'll lead automation initiatives, integrate AI and machine learning technologies, manage project lifecycles, ensure data quality, and collaborate cross-functionally to optimize processes.

As a Risk Operations Analyst II, you'll manage payments and fraud risk, collaborate cross-functionally, analyze fraud trends, and support chargeback prevention strategies.

As a Senior Machine Learning Engineer, you'll develop ML solutions, design APIs, maintain data pipelines, and collaborate with teams for optimal performance and innovation.

As a Senior Machine Learning Engineer, you will develop ML/AI applications, enhance operational safety and efficiency, and collaborate with various teams on innovative projects.