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Sanctuary AI

Vancouver / Global

Infrastructure Engineer for ML Operations

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 experience with ML frameworks

• Proficient in Python and Linux systems

• Familiar with CI/CD and GitOps approaches

Shape the future of automation with your skills at Sanctuary AI.

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