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.

Analyze large data sets to identify trends and fraudulent behaviors, collaborating across teams to drive risk management innovations.

The AI Business Analyst will optimize Dropbox's support systems using AI, analyze performance, and guide AI project prioritization to improve customer outcomes.

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 the transformation of finance technology, focusing on architecture, strategy, and innovative AI-driven solutions to optimize financial processes.

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.

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

Lead and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

As Product Lead, you'll enhance dispute resolution for Cash App, leading cross-functional teams to improve customer trust, compliance, and operational efficiency.

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

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

Lead the BNPL product strategy focusing on inclusion and transparency in credit systems. Collaborate across teams to build a seamless user experience and ensure regulatory compliance.

Lead and develop the Data Loss Prevention Team, establishing strategy and overseeing implementation of DLP tools to enhance security and efficiency at Coinbase.

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.

Lead and develop a team to investigate and mitigate fraud risks, collaborating with various departments to improve controls and processes. Drive innovation in risk management through analytical skills and machine learning model enhancement.

Lead and mentor a team of applied ML engineers at Cash App, focusing on building explainable ML systems to support decision-making across business teams.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

As Product Manager for Complaints, you will lead complaint management strategy, drive team collaboration, oversee product development, and ensure regulatory compliance across Block's businesses.

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 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, lead projects to build ML solutions, develop AI prototypes, and optimize algorithms to enhance user experiences. Collaborate with data teams, design scalable models, and maintain production algorithms.

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.