Job Description
Join Sanctuary AI as a Machine Learning Operations Engineer and innovate in robotic intelligence. Focus on infrastructure management and deployment automation in Vancouver.
As a Machine Learning Operations Engineer at Sanctuary AI, you will work closely with teams to ensure the efficient operation of data pipelines and ML models. This role demands a strong foundation in cloud services and automation tools, where your experience will support the development of state-of-the-art robotic systems.
Key Responsibilities:
• Establish and maintain scalable machine learning infrastructure
• Manage cloud services, containers, and orchestration platforms
• Deploy new tools to enhance data collection processes
• Address performance issues within training clusters
• Aid researchers in optimizing ML workloads
Requirements:
• Bachelor's degree in Computer Science or related field
• Minimum 3 years of experience with Docker and cloud services
• At least 2 years of exper...
As a Machine Learning Operations Engineer at Sanctuary AI, you will work closely with teams to ensure the efficient operation of data pipelines and ML models. This role demands a strong foundation in cloud services and automation tools, where your experience will support the development of state-of-the-art robotic systems.
Key Responsibilities:
• Establish and maintain scalable machine learning infrastructure
• Manage cloud services, containers, and orchestration platforms
• Deploy new tools to enhance data collection processes
• Address performance issues within training clusters
• Aid researchers in optimizing ML workloads
Requirements:
• Bachelor's degree in Computer Science or related field
• Minimum 3 years of experience with Docker and cloud services
• At least 2 years of exper...
Ready to Apply?
Submit your application today and join our talented team at Sanctuary AI.
Submit ApplicationJob Details
- Location vancouver, metro vancouver regional district
- Job Type Full-time
- Category Engineering
- Posted Date June 09, 2026
- Application Deadline July 19, 2026