ML Infra Engineer

Humble Robotics is hiring an ML Infrastructure Engineer to build and scale foundational systems supporting the full machine learning training lifecycle. The role spans vehicle data collection, dataset curation, distributed model training, and reliable infrastructure for ML teams.

Responsibilities:

• Work on data collection infrastructure that moves sensor data reliably and efficiently from our vehicles into our ML platform
• Develop batch compute pipelines for cataloging, exploring, and curating raw data into high-quality training sets
• Design and scale distributed ML training on our GPU clusters
• Take ownership of performance, observability, efficiency, and security across the full pipeline
• Partner with the ML team to understand their workflows and translate them into reliable infrastructure that accelerates their work