ML Engineer, Foundation Models

Humble Robotics is building an autonomous, zero-emissions hauler using vision-based AI for global logistics. The ML Engineer will design, train, evaluate, and deploy a vision-language-action foundation model for the company’s autonomous driving stack, collaborating with vehicle systems and controls engineers to integrate it into production trucks.

Responsibilities:

• Design and iterate on our VLA model architecture—including the VLM backbone, action decoder, and multimodal fusion pipeline
• Build and optimize large-scale training infrastructure (distributed training, data pipelines, mixed-precision, efficient fine-tuning)
• Develop simulation-based evaluation and closed-loop training workflows using photorealistic neural rendering
• Curate and manage multimodal training datasets spanning real-world driving and synthetic scenarios
• Translate state-of-the-art research (diffusion/flow-matching action heads, reasoning-augmented VLAs, world models) into production-grade systems
• Collaborate directly with vehicle systems and controls engineers to integrate model outputs into a real-time autonomous driving stack