Top Machine Learning Jobs in Vancouver

Develop ML-powered information retrieval and recommendation systems at Workday. Responsibilities include building models, deploying APIs, and enhancing user experiences based on advanced AI techniques.

Develop and operate machine learning models and pipelines, collaborate with engineers to solve ML use cases in blockchain, and adapt to new technologies.

The Sr. Machine Learning Engineer will build scalable ecosystems, collaborate across teams, innovate with ML technologies, and maintain data pipelines while ensuring coding quality and best practices.

Develop and implement machine learning models for credit decisioning, partnering with engineering teams and ensuring high-quality model performance.

As a Staff Machine Learning Engineer, you'll develop AI systems using large language models, lead technical strategies, and ensure impactful product innovation through cross-functional collaboration.

As a Senior Machine Learning Modeler, you'll develop machine learning solutions for detecting financial crimes, collaborating with stakeholders and improving team efficiency.

Lead the design and integration of Generative AI solutions in Firefox, manage projects, optimize models, and collaborate with cross-functional teams.

The Senior Solution Architect at Snowflake will lead technical migration projects, develop ETL workflows, and optimize cloud solutions while ensuring customer success.

As a Staff Machine Learning Engineer, you will lead ML solutions focusing on risk mitigation in Cash products, collaborating with multiple teams.

As a Staff Machine Learning Engineer on the Risk team, you'll develop ML solutions to mitigate fraud and risk, collaborating cross-functionally across the organization.

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.

Design, develop, and deploy advanced machine learning models for generative tasks, working collaboratively in a team to implement cutting-edge AI solutions.

As a Principal Machine Learning Engineer, you'll implement machine learning algorithms, collaborate with teams, design model architectures and guide ML engineers to enhance AI functionalities across Atlassian products.

The Application Engineer III role involves supporting MES solutions, troubleshooting, project management, customer coordination, and continuous improvement in manufacturing processes.

The Developer Relations Engineer will create content, engage communities, and drive brand growth for Freeplay in the AI sector.

The QA Engineering Lead will oversee quality assurance processes, mentor the QA team, and implement best practices to ensure high-quality software delivery.

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.