VLA Pre-Training Engineer - Edge AI for Humanoid Robots

Humanoid; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Equity and stock options

30+ days off

Private healthcare

Pension plan

Free meals in‑office

Collaborative environment

Job summary

Humanoid in London is seeking a VLA Pre-training Engineer to join the Autonomy team. You will train capable policies, manage pre‑training and fine‑tuning, curate data collection processes, and explore synthetic data generation for real‑world deployment.

This is a deep learning‑focused role; extensive neural network experience is required. Robotics background is helpful but not mandatory, with fast domain familiarization expected.

Qualifications

• 3+ years building deep‑learning systems with shipped models or published artifacts.
• Experience with at least one of: 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.

Responsibilities

• Post‑train policies via behaviour cloning and RL; own the full loop from data to deployment.
• Partner with Data Collection to define good data, identify failure modes, ensure diversity and coverage.
• Work with external partners to secure high‑quality pretraining data.
• Run pre‑/mid‑/post‑training on VLA stack; explore new modalities and architecture changes.
• Build and maintain pipelines: ingest synthetic data, version datasets, curate fresh failure cases.
• Collaborate with MLOps & Data Platform teams to scale distributed training and optimize for edge inference.

Skills

Deep learning

Python

PyTorch/JAX

Distributed training

Tools

PyTorch

JAX

MLOps

Job description

Humanoid in London is seeking a VLA Pre-training Engineer to join the Autonomy team. You will train capable policies, manage pre‑training and fine‑tuning, curate data collection processes, and explore synthetic data generation for real‑world deployment.

This is a deep learning‑focused role; extensive neural network experience is required. Robotics background is helpful but not mandatory, with fast domain familiarization expected.