Top Machine Learning Jobs in Vancouver

As an Engagement Manager II, you will lead AI deployment processes, manage client relationships, facilitate workshops, and enhance project management standards, ensuring program success and improvements.

The Specialist will create and manage marketing materials, work with various teams, and communicate product initiatives aligned with company standards.

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

As a Lead Field Data Scientist at Mastercard, you will support sales and product development, leveraging machine learning for fraud detection, maintaining client relationships, and advising on data integration.

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 Behavioral Insights Team to investigate and analyze fraudulent activities, mentor team members, collaborate with cross-functional partners, and drive integration with machine learning for risk management.

The Senior Lead AI Solutions Consultant at Braze drives revenue by enhancing the understanding of the BrazeAI tools, engaging with enterprise customers, leading workshops, and collaborating across teams to improve products and customer solutions.

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.

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.

As a Risk Business Partner Team Lead, you will manage a team of risk analysts, foster partnerships, design training, and drive analytics innovation to support risk initiatives.

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.

Lead the development of identity verification products, translating strategic goals into actionable roadmaps, managing cross-functional teams, and driving product lifecycle activities.

As a Data Scientist I, you will analyze complex data, prototype machine learning models, and support product development using data-driven applications.

Join Atlassian as a PhD AI Research Intern, focusing on advanced machine learning and AI technologies. Collaborate with experts, curate datasets, train models, and contribute to academic publications in a supportive team environment.

Define and execute the product vision for leveraging data science at DraftKings, focusing on personalization and customer engagement through collaboration across multiple teams.

Lead a team to analyze patterns to mitigate fraud, driving efficiency through collaboration with analysts and data scientists while mentoring staff and enhancing investigation processes.

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.

The Behavioral Insights Lead will manage a team focusing on cryptocurrency risk analysis, detecting fraud patterns, and enhancing data-driven responses to high-risk activities, using machine learning and deep domain expertise in Bitcoin.

As a Staff Machine Learning Engineer at Coinbase, you will define technical strategies, design ML models for risk assessment, create real-time ML pipelines, and deploy models at scale to optimize operations and enhance user security.

Lead the Payments Risk engineering team at Coinbase, develop strategies, mentor team members, ensure code quality, and collaborate with cross-functional teams to manage financial risks.

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

Lead the Applied Machine Learning team for Cash App, managing ML engineers, developing AI tools, and fostering collaboration on data-driven insights.

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.