Top Machine Learning Jobs in Vancouver

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.

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 end-to-end product for GTM automation, building AI/ML systems that automate Sales and Marketing workflows. Define strategy, metrics, experiments, model goals, safety, and launch cross-functionally with engineering, ML, data, design, legal, and operations.

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.

Lead dispute resolution efforts for Cash App, collaborating with cross-functional teams to ensure safety, compliance, and customer satisfaction.

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.

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.

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.

The Head of Analytics Engineering will lead the Analytics Engineering team, develop data platforms, and promote data literacy within Block's Risk organization, partnering with various stakeholders to enhance risk management capabilities.

Lead the design vision for Square's Financial Suite, managing design teams, driving design quality, and enhancing user experience through innovative financial tools.

Provide legal counsel on data privacy and security issues, support incident responses, and review product launches while collaborating with cross-functional teams.

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.

As Product Lead for Borrow, you'll drive the product vision, work with cross-functional teams, and enhance customer experience while maximizing access to credit.

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

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

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

Own strategy and roadmap for AI-powered GTM automation across Sales and Marketing. Identify automation opportunities, define product requirements, partner with ML, data, design, and engineering, run experiments, set metrics for accuracy/safety/latency, and lead cross-functional execution from concept to launch.

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.

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