Top Machine Learning Jobs in Vancouver

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.

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 Head of Design will lead design efforts for Square's Financial Suite, focusing on product experience, automation, and team mentorship while integrating financial management tools for small businesses.

Lead a team of data scientists to deliver insights and data-driven solutions. Provide technical leadership, manage projects, and foster a culture of innovation.

Lead the BNPL product strategy and growth by driving cross-functional alignment, partnering with ML and design teams, and ensuring compliance with regulations.

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

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

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 and manage Creative Innovation projects from prototype to production-ready, ensuring alignment across teams and translating creative goals into actionable plans while maintaining project clarity and risks.

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

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

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

Design and implement scalable data pipelines and ML algorithms to optimize StackAdapt's digital advertising platform. Collaborate with teams to solve complex problems.

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

Join the R&D team to develop ML/AI models leveraging data for ad tech. Collaborate on the full project lifecycle in a flexible, remote environment.

The Senior Product Manager will lead the vision, strategy, and execution of AI Contract Intelligence features, collaborating with teams to drive product development and market analysis.

The role involves leading AI and ML projects, defining technical strategies, mentoring teams, managing projects, ensuring quality, and engaging stakeholders.

As a Machine Learning System Engineer, you will develop and maintain core infrastructure for machine learning models, lead projects, and collaborate with teams.

The Senior Product Manager will define product strategy and manage the development of AI-native tools aimed at improving trust posture across security, privacy, and compliance. Responsibilities include roadmap creation, collaborative UX development, and driving automated remediation through innovative AI solutions.

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

The Risk Business Partner Team Lead will manage and develop a team of risk analysts, providing strategic advisory and innovation in risk management for a fintech company.

The Technical Recruiter will manage full-cycle recruiting for technical and product roles, ensuring a strong pipeline of candidates and a high-quality candidate experience while using data to improve processes.

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

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.