ML Infra Engineer

Humble Robotics is building an autonomous, zero-emissions hauler that leverages vision-based AI for logistics. They are seeking an ML Infrastructure Engineer to design and scale the foundational systems necessary for machine learning operations, focusing on data collection, model training, and infrastructure reliability.

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