Top Machine Learning Jobs in Vancouver

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.

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.

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

The Global Head of Sanctions will lead Block's sanctions compliance program, manage escalations, regulatory reporting, and engaging with external agencies while developing and implementing sanctions policies.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

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.

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

Lead a product portfolio for Clio's core case management experience, utilizing legal expertise to drive innovation and user adoption while simplifying attorney workflows with AI tools.

Lead Growth Product strategy and execution to drive customer acquisition, onboarding, and GTM efficiency. Manage a team of product managers, define measurable goals, collaborate with Engineering, Design, Marketing, Sales and Data, and build scalable systems (account scoring, TAM data, outbound automation, ML models) to improve pipeline conversion, CAC payback, and activation outcomes.

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 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.

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 Lead Product Marketing Manager, AI will lead the market strategy for GitLab's AI capabilities, focusing on product positioning, go-to-market execution, and supporting AI tool adoption across the software development lifecycle.

As a Senior Machine Learning Engineer, you will lead model validation for AI systems, challenge model soundness, and build validation tools for high-stakes areas such as credit and fraud prevention.

As a Senior Machine Learning Engineer in Model Risk Management, you will evaluate and validate models that assess risk in lending and fraud, ensuring their robustness and reliability. You will collaborate with model owners, tackle model challenges, and build evaluation tools critical for understanding model performance.

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.

As an AI Innovation Business Analyst Intern, you will support the development of AI applications for risk management, collaborate with business users, conduct research, and report project progress. You will also design presentations and implement innovative solutions.

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

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

The Senior Geo Data Scientist will develop advanced machine learning models for geospatial data, build scalable data pipelines, and enhance model performance for mineral exploration.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Lead the pricing intelligence, supplier performance, and financial reconciliation for travel segments, utilizing AI and model-driven systems.