Top Machine Learning Jobs in Vancouver

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.

The Head of Design will lead design efforts for Square's Financial Suite, focusing on product experience, automation, and team mentorship while integrating financial management tools for small businesses.

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.

The AI Engineer will develop and optimize AI solutions, focusing on LLMs, manage datasets, and collaborate with cross-functional teams to align AI/ML solutions with business objectives while ensuring data quality and performance.

The role involves designing backend services for AI/ML workloads, enhancing core ML systems, and collaborating with teams to optimize infrastructure for scalable AI solutions.

As a Principal MLOps Developer, you'll build scalable ML training pipelines, optimize training systems, and collaborate with AI researchers to innovate within the AEC industry.

The Senior Experience Designer will create advanced tools for customer experience, focusing on AI and automation in Autodesk products. Responsibilities include partnering with teams, prototyping designs, conducting user research, and ensuring design consistency.

As a Senior/Principal Machine Learning Engineer, you will design and develop generative AI models, lead technical vision, and mentor a team, focusing on AI-driven solutions for the AEC industry.

The Senior Product Manager will define product strategy and manage the development of AI-native tools aimed at improving trust posture across security, privacy, and compliance. Responsibilities include roadmap creation, collaborative UX development, and driving automated remediation through innovative AI solutions.

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

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 Python Software Engineer, you'll design software for internal test infrastructure, integrate AI/ML for log analysis and collaborate with cross-functional 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.

Design and build backend services for AI/ML workloads, enhance core ML systems, and collaborate with cross-functional teams to optimize operations.

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

Lead the design and implementation of AI-driven forecasting and financial modeling systems, collaborating across teams to enhance decision-making and operational reliability.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

Design and implement scalable ML infrastructure, develop CI/CD pipelines, collaborate with teams to optimize model performance, and provide DevOps support.

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 Machine Learning Engineer, you will develop ML/AI applications, enhance operational safety and efficiency, and collaborate with various teams on innovative projects.

Design and implement Python frameworks, APIs, and tools for testing infrastructure. Integrate AI and ML capabilities for log analysis and anomaly detection, while collaborating with cross-functional teams and promoting code quality.

The Technical Workflow Designer will develop scalable workflows for visual content creation, integrating machine learning and ensuring high-quality outputs for film production.

Join the R&D team to develop ML/AI models leveraging data for ad tech. Collaborate on the full project lifecycle in a flexible, remote environment.

The Technical Recruiter will manage full-cycle recruiting for technical and product roles, ensuring a strong pipeline of candidates and a high-quality candidate experience while using data to improve processes.