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.

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.

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

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.

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.

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.

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.

The Senior Software Engineer will design and develop AI applications, integrating Generative AI technologies and creating scalable architectures while ensuring solutions are production-ready and cost-efficient.

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

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

In this role, you'll design and develop scalable ML infrastructure, optimize data processing workflows, and mentor team members while collaborating with Data Science and Engineering teams.

As a Senior AI Engineer, you'll design and build scalable AI systems, optimize data pipelines, and integrate LLM advancements, mentoring teammates and influencing product discussions.

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

As a Global Demo Excellence Lead, you'll own a demo ecosystem strategy, manage demo environments, and drive sales and partner readiness to enhance customer engagements across Geotab's diverse sectors.

As a Senior Machine Learning Engineer, you'll develop ML solutions, design APIs, maintain data pipelines, and collaborate with teams for optimal performance and innovation.