Top Machine Learning Jobs in Vancouver

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.

The Compliance Technology Oversight Lead manages machine learning compliance models, partners with engineering for oversight, and ensures alignment with regulatory standards.

Manage a team of ML engineers to develop machine learning solutions for underwriting applications. Set technical strategy, mentor engineers, and collaborate with teams across the organization.

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.

The Fraud Program Manager will enhance the fraud risk management program, develop monitoring metrics, manage anti-fraud policy updates, and collaborate across teams to ensure compliance and effectiveness in fraud prevention.

The Staff Software Engineer will develop full-stack applications, lead projects, mentor teammates, and drive architectural discussions to enhance Toast's restaurant platform.

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.

Counsel on product and security issues, focusing on user privacy and data protection while collaborating with cross-functional teams and advising on compliance.

As Principal Product Manager, you'll define and execute the strategic vision for AI quality, enhancing enterprise search and AI products through cross-functional collaboration and customer insights.

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

Lead a team of ML engineers to develop and improve fraud detection models, defining strategies and fostering collaboration across functions to ensure effective model integration.

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.

The Senior Territory Account Executive manages sales strategies for mid-market, generating sales opportunities, achieving sales goals, and building customer relationships while collaborating with various teams and partners.

The Senior Cloud Architect will design and implement cloud solutions, drive DevOps culture, and manage short to medium-term cloud initiatives focusing on technology and application architecture.

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.

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.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

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 design, build, and deploy AI agents, advance ML systems, and mentor junior engineers.

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

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

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