[Hiring] ML Software Engineer @Humble Robotics

Role Description

Build the software backbone for autonomy-focused foundation models:

• Design and ship multimodal data pipelines (ingest, validate, shard, package).
• Reproducible training/evaluation workflows (manifests, checkpoints, failure handling).
• Implement and iterate on LLM, VLM, and VLA architectures.
• Own model code paths, input/tokenization, inference runners, and output heads for downstream consumers.
• 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 scratch: architecture → implementation → testing → documentation → iteration.
• Raise the bar on code quality, reliability, and observability.

Qualifications

• MS in CS/ML/Robotics or BS + ≥2 years building ML/data/evaluation systems.
• Strong Python fundamentals (data structures, testing, debugging, modular design).
• Track record of shipping production-quality code/APIs and reliable automation.
• Demonstrated experience building data/ML pipelines and evaluation tooling.
• Experience integrating training and inference using PyTorch, TensorFlow, or JAX.
• Dataset packaging, sharding, manifest formats, and integrity checks for large multimodal datasets.
• Practical work improving training/inference throughput and latency (e.g., mixed precision, efficient batching, model parallelism).
• Cloud storage and training workflows, containerization, CI/CD, and experiment observability (tracking, logging, metrics).
• Strong communication, collaborative with research and engineering partners.
• Bias for ownership/independence in a small, fast-moving team.

Requirements

• Prior work on perception, detection, or multimodal models (nice to have).

Benefits

• $100,000 - $300,000 a year.
• The anticipated base salary for this position is expected to be within the following range.
• Your actual base pay will be determined by your job-related skills, experience, and relevant education or training.