Top Machine Learning Jobs in Vancouver

Lead GitLab's Custom Models team, manage high-performing engineers, and develop AI solutions tailored to customer needs while promoting innovation and collaboration.

As a Senior Machine Learning Engineer, you'll design and launch AI-driven solutions, collaborate across teams, and drive AI innovation at Block, focusing on customer-centric products.

Lead the development of AI-powered products at Block, collaborating with teams to create solutions that enhance business growth and customer satisfaction.

As a Senior Backend Engineer at Roofr, you'll drive backend architecture development, collaborate with cross-functional teams, and implement software solutions while ensuring quality and clean coding practices.

As a Software Engineer in the Bidding Intelligence group, you will design and implement scalable systems, support ML model building, and optimize bidding strategies for mobile app growth.

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

Lead the Machine Learning team to drive innovation and commercialization of research in 3D reconstruction and generative AI.

As a Machine Learning Engineer, you will develop machine learning models for creditworthiness, collaborate with engineering teams, and implement data pipelines for production models.

Lead Software Engineer responsible for monitoring, observability, and self-healing systems. Develop observability strategies and collaborate with teams for system performance.

The Observability Manager will oversee monitoring efforts, ensure system performance, lead self-healing initiatives, and drive best practices in observability.

The Machine Learning Engineer will develop large-scale Ads systems focusing on NLP, ranking models, algorithm optimization, and data analysis to enhance ad delivery efficiency.

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.

Design and implement technical evaluators for LLM assessment, optimize dataset management, and collaboratively build scalable evaluation frameworks to ensure reliability of AI models.

Develop and implement advanced geometry processing techniques and tools for Unreal Engine while collaborating closely with users and internal teams.

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 the Machine Learning team to develop cutting-edge algorithms, drive innovation, manage project timelines, and collaborate with cross-functional teams.

The Emerging Technology TD researches, develops, and implements new technologies for VFX production, focusing on AI and VFX-related workflows.

As a Machine Learning Engineer at Delphina, you'll automate ML workflows, conduct research, and transform customer needs into product solutions, leveraging your software engineering and ML expertise.

The role involves developing end-to-end software agents with collaborative AI capabilities to assist engineering teams in solving complex problems.

Lead the development of AI and machine learning models for Firefox, enhance user experiences, mentor engineers, and ensure innovative methodologies.

Lead and grow a team of ML engineers developing Generative AI models for Firefox, driving end-to-end product development and collaboration across various teams.

As a Senior Applied AI Engineer, you will develop AI solutions, enhance ML systems, and collaborate with teams to improve infrastructure and tools while mentoring junior engineers.

As an AI Generalist, you will develop and optimize AI-driven solutions, collaborate with teams, and integrate cutting-edge technologies to enhance business performance.

The Machine Learning Engineer will optimize content distribution systems, improve existing ML systems, and collaborate on scalable models for Quora's recommender systems.

As a Senior Machine Learning Engineer, you will develop and maintain advanced NLP applications for Poe, oversee machine learning systems, and collaborate on innovative AI-driven features.