Cloud Platform - ML Infrastructure Engineer

Lab37 Robotics is a technology company developing and deploying robots for direct-to-customer food production. The Cloud Platform - ML Infrastructure Engineer will own the cloud infrastructure layer powering the robotics fleet, building ML infrastructure, ETL pipelines, CI/CD automation, data systems, and model deployment workflows while ensuring platform observability and reliability.

Responsibilities:

• Design, build, and maintain scalable ML infrastructure that abstracts away underlying storage, pipeline management, and repetitive environment setup tasks
• Implement robust systems for automated model checkpointing, persistent metadata management, and experiment tracking across distributed training runs
• Create self-service ML workflows and tooling that empower ML engineers and data scientists to focus on core logic, model architecture, and validation
• Build and maintain automated ETL and data ingestion pipelines that stream and transform raw robot telemetry into clean datasets for training and analytics
• Contribute to infrastructure-as-code (Terraform) and CI/CD automation for model deployment, data processing, and cloud services
• Partner with cloud and embedded engineers to streamline model deployment to fleets of robots in the field and participate in on-call rotations for platform reliability
• Monitoring & Cost: Track model drift, system throughput, and optimize cloud compute costs