Top Machine Learning Jobs in Vancouver

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.

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.

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 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 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.

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.

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.

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.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

The AI Enablement Lead will drive the integration of AI into research teams by developing tools and processes that enhance productivity and analytical capabilities, collaborating with multidisciplinary teams, and monitoring trends in AI for effective adoption.

As an AI Productivity Analyst, you will evaluate and implement AI tools to enhance productivity, design experiments, and collaborate across departments to identify process improvements.

The Technical Solutions Manager bridges Sales and Software Engineering, leading technical discovery, designing solutions, and engaging customers to drive revenue growth.

As a Senior Machine Learning Engineer, you'll lead ML initiatives to enhance player engagement, build scalable pipelines, and mentor engineering teams, ensuring optimized deployment and performance of ML solutions.

The role involves leading AI and ML projects, defining technical strategies, mentoring teams, managing projects, ensuring quality, and engaging stakeholders.

The Research Platform Scientist will build high-efficiency experimental pipelines, collaborating with scientists and engineers to enhance throughput in molecular biology efforts.

Lead the MAX organization focusing on the development of AI inference solutions and frameworks, manage teams, and collaborate with engineering leaders.