Top AI & Machine Learning Jobs in Vancouver, BC

Design and maintain ML pipelines, build data ingestion tools, collaborate with data teams, ensure data quality, and solve technical challenges in a fast-paced environment.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.

As a Staff/Principal Machine Learning Engineer, you'll build and maintain ML models for credit products, design decision frameworks, and run experiments to ensure model performance. You'll work across the full modeling lifecycle and collaborate with various teams to align credit risk assessments with business goals.

The Senior Machine Learning Modeler will lead the design and implementation of AI-driven models for forecasting and financial planning, collaborating across teams to create scalable ML architectures and tools for model interpretability.

The Machine Learning Modeler will design and scale intelligent systems, build forecasting models, and collaborate with analytics teams to make data-driven decisions at Block.

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.

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.

Analyze large datasets to provide actionable insights, design experiments, communicate findings, and lead cross-functional projects in a growth-focused data science role.

As a Staff Machine Learning Engineer, you'll lead ML system strategy for fraud and risk management, use analytics for decision-making, and drive technical solutions across teams.

Design and implement ML models to combat financial crimes, collaborate with stakeholders, and maintain regulatory documentation while leading ML practices.