Humble Robotics
ML Software Engineer
$100K–$300K
San Francisco · Remote · Full-time · Posted Nov 5, 2025
- Experience
- MS in CS/ML/Robotics, or BS plus at least 2 years building ML/data/evaluation systems.
- Education
- MS in CS/ML/Robotics or BS + ≥2 years building ML/data/evaluation systems
About the job
Builds software infrastructure, models, evaluation systems, and production inference tools for autonomy-focused foundation models and vehicle deployments.
What you'll do
- Build multimodal data pipelines and reproducible training and evaluation workflows.
- Implement LLM, VLM, and VLA architectures and develop simulator-based evaluation tooling.
- Deliver production serving and inference systems for low-latency operation on test platforms and vehicles.
What they ask for
- Strong Python fundamentals and experience shipping production-quality software, APIs, and reliable automation.
- Experience building data/ML pipelines and evaluation tooling, and integrating training and inference with PyTorch, TensorFlow, or JAX.
- Experience packaging, sharding, and validating large multimodal datasets.
- Practical experience improving training or inference throughput and latency; familiarity with cloud workflows, containerization, CI/CD, and experiment observability.
Nice to have
- Prior work on perception, detection, or multimodal models.
Pay
USD 100,000–300,000 per year (base salary)
Tools
Python, PyTorch, TensorFlow, JAX
AI focus
Develop and operate LLM, VLM, and VLA foundation models for autonomous transportation, including multimodal data pipelines, training, evaluation, and inference.
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