Top Machine Learning Jobs in Vancouver

Lead design and implementation of AI product initiatives on Edge devices, optimizing ML models, and collaborating across business units to enhance performance and customer experience.

The Machine Learning Architect designs and implements machine learning solutions, leads projects from concept to deployment, and collaborates with customers to ensure alignment with business goals.

The Senior Applied AI/ML Scientist leads the development of AI/ML solutions, collaborates with teams, and drives product innovation to enhance customer value.

As a Principal Machine Learning Engineer, you will develop and implement cutting-edge ML algorithms, train models, and collaborate with various teams to enhance AI functionalities across Atlassian products.

The Development Productivity Lead will promote AI-driven tools, enhance developer efficiency, lead integrations, provide training, and foster stakeholder collaboration globally.

As a Computer Vision Research Intern, you'll conduct advanced research in computer vision and machine learning, collaborate with experts, and integrate algorithms into the testing platform.

Design and develop procedural generation tools in Unreal Engine, integrating machine learning and collaborating with Technical Artists to enhance workflows.

We are expanding our teams in Protein Science, Drug Development, and need individuals skilled in Bioinformatics, Machine Learning, and Software Development.

As a Senior Backend Developer, you will design, develop, and maintain backend systems for AI solutions, manage data integration, and implement security measures.

Build data-driven systems for risk management at scale, develop decisioning systems, and ensure data quality and compliance while collaborating across teams.

The Associate, ML Engagement Management will oversee program execution phases, design and document requirements, build customer relationships, and ensure project success.

As an Intermediate Machine Learning Engineer, you will develop evaluation techniques, manage large language models, and collaborate on AI feature implementations, ensuring product quality and performance.

The Senior ML Engineer at Xero will design AI infrastructure, manage technical debt, collaborate with teams, and enhance product usability while mentoring junior engineers.

As a Staff Firmware Engineer, you will lead the design and development of embedded solutions, drive technology choices, and collaborate with the hardware team to ensure the accuracy of AI algorithms on edge devices. You will mentor engineers and oversee high-impact projects.

Lead customer engagement by guiding workshops and prototyping solutions. Provide technical leadership, problem-solving, and support while sharing insights to shape product evolution.

The role involves building and improving ML-based systems for user engagement and safety on Discord, collaborating with cross-functional teams.

The role involves deploying machine learning models in banking, collaborating across teams, and leveraging advanced data techniques to drive product growth.