Top Machine Learning Jobs in Vancouver

Lead the development and implementation of quality strategies for machine learning systems. Collaborate across teams to enhance product quality and monitor effectiveness.

As a Machine Learning Engineer, you will research automating ML workflows, collaborate on product development, and support customer needs with technical solutions.

As a Senior Machine Learning Engineer, lead the development of ML solutions, collaborate with cross-functional teams, design scalable systems, and manage the lifecycle of ML models while improving user experiences across dating platforms.

Develop and grow machine learning products, lead design and integration of AI models, mentor engineers, and drive large-scale projects in a collaborative environment.

The Technical Director will lead technical direction, ensure quality project execution, guide teams, and serve as a trusted advisor to clients in AI and Data initiatives.

Lead the development of ML solutions for knowledge curation, optimize data pipelines, drive research initiatives, and mentor team members.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

Seek a VFX and Machine Learning Specialist to develop and implement VFX solutions, design machine learning models including training and fine-tuning, collaborating with teams, and ensuring control over technology stacks.

Design and maintain ML inference infrastructure, build job scheduling systems, develop APIs, mentor team, ensure compliance, and partner with researchers to deploy models.

Develop and productionize Multimodal Spatial Intelligence for autonomous driving, collaborating on ML methods for 3D spatial understanding.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

Lead the design and development of scalable, high-performance real-time data and API infrastructure to support AI applications. Mentor engineers, ensure system reliability, and collaborate across teams.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.

Seeking a Senior Machine Learning Engineer to develop advanced AI systems, managing datasets, enhancing performance, and collaborating across teams to innovate in self-driving technology.

You will build a search and assistant product, improve personalization, train models, and write robust code while mentoring junior engineers.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

The Senior Machine Learning Ops Engineer will design and build machine learning operations infrastructure, manage ML pipelines, experiment tracking, model deployment, and collaborate with engineering teams to enhance data and ML processes.

Design and implement machine learning algorithms for robotic manipulation, focusing on RL and IL. Collaborate across disciplines to ensure integration and successful deployment.

Develop and integrate AI agents for security platforms, focusing on natural language data processing and automating security tasks.

As a Senior Machine Learning Engineer, you will build and optimize ML models, design ML infrastructure, and collaborate with teams to enhance AI products for cybersecurity.

Lead and grow a global engineering team, drive technical strategy, and ensure alignment between client goals and engineering solutions in a remote setting.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.