VLA Pre-Training Autonomy Engineer – ML Data Pipelines

Groupe-Ebra-1; San Diego (CA); Sur place; USD 180 000 - 300 000; Plein temps

Avantages offerts par ce poste

Health coverage in US

PTO 23 days

401(k) with match

Equity included

Free daily catered lunch

Collaboration with top engineers

Impactful product ownership

Résumé du poste

Humanoid is seeking an Autonomy Engineer focused on VLA pre-training to develop capable policies by pre-training base models on diverse trajectories and fine-tuning for specific tasks. You will shape data collection, generate synthetic data, and push toward scalable, safe humanoid AI.

This role emphasizes deep learning, with potential exposure to robotics and a fast-growing team collaborating across data, ML, and platform groups. California-based, in-office work, with competitive compensation.

Qualifications

• 3+ years building deep‑learning systems (industry or research).
• Hands‑on with LLMs, VLMs, or image/video generative models — architecture, training and inference.
• Experience with deep learning infrastructure: streaming datasets, checkpointing and state management, distributed training strategies.
• Strong Python + PyTorch/JAX; able to profile, debug numerics, and write maintainable research code.
• Familiarity with modern software engineering practices.

Responsabilités

• Post-train policies via behavior cloning and RL; own the full loop from data to deployment.
• Collaborate with Data Collection to specify good data and coverage.
• Work with external partners to secure high‑quality pretraining data.
• Run pre/mid/post‑training on VLA stack and explore new modalities/architectures.
• Build and maintain pipelines: ingest synthetic data, label, curate datasets, surface failures for retraining.
• Coordinate with MLOps & Data Platform to scale distributed training and optimize edge inference.

Connaissances

Deep learning systems

LLMs

VLMs

Image/video generative models

Python

PyTorch/JAX

Software engineering practices

Experiment documentation

Outils

Distributed training

Checkpointing/state management

Description du poste

Humanoid is seeking an Autonomy Engineer focused on VLA pre-training to develop capable policies by pre-training base models on diverse trajectories and fine-tuning for specific tasks. You will shape data collection, generate synthetic data, and push toward scalable, safe humanoid AI.

This role emphasizes deep learning, with potential exposure to robotics and a fast-growing team collaborating across data, ML, and platform groups. California-based, in-office work, with competitive compensation.