Foundation ML Engineer for Autonomous Driving (VLA)

Humble Robotics; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

An innovative robotics company based in San Francisco seeks an ML engineer focused on designing and training vision-language-action models for autonomous driving. The ideal candidate will have a strong background in machine learning and proficiency in tools like PyTorch. This position offers the opportunity to work on groundbreaking technology in a collaborative environment and includes a compensation package with salary and equity options.

Qualifications

• Eligible to work in the United States.
• Experience building or contributing to end-to-end autonomous driving systems is preferred.
• Track record of publications at top ML/robotics venues or significant open-source contributions is preferred.

Responsibilities

• Design and iterate on VLA model architecture.
• Build and optimize large-scale training infrastructure.
• Develop simulation-based evaluation and closed-loop training workflows.
• Curate and manage multimodal training datasets.
• Translate state-of-the-art research into production-grade systems.
• Integrate model outputs into a real-time autonomous driving stack.

Skills

Strong proficiency in PyTorch

Distributed training

GPU-accelerated workflows

Solid foundation in transformer architectures

Attention mechanisms

Modern generative modeling

Education

MS or PhD in Computer Science, Machine Learning, Robotics, or related field

Job description

An innovative robotics company based in San Francisco seeks an ML engineer focused on designing and training vision-language-action models for autonomous driving. The ideal candidate will have a strong background in machine learning and proficiency in tools like PyTorch. This position offers the opportunity to work on groundbreaking technology in a collaborative environment and includes a compensation package with salary and equity options.