Humble Robotics

Machine Learning Engineer

• Build the software backbone for autonomy-focused foundation models, including multimodal data pipelines and reproducible training/evaluation workflows
• Implement and iterate on LLM, VLM, and VLA architectures, including model code paths, tokenization, inference runners, and output heads
• Integrate and operate simulators for closed-loop evaluation
• Build tooling for metrics, visualization, and experiment management
• Deliver production-grade serving and inference tooling for deterministic, low-latency operation on bench/mule and eventual vehicle deployments
• Own systems from architecture through implementation, testing, documentation, and iteration
• Improve code quality, reliability, and observability

ML Software Engineer