Humanoid is building the world's most capable, commercially-scalable, and safe humanoid robots.
HMND-01 Alpha is a rapidly developed humanoid platform now running in real industrial pilots.
Responsibilities
Post-train policies via behaviour cloning and RL; own the full loop from data to deployment.
Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage.
Work closely with external partners to ensure steady supply of high-quality pretraining-scale data.
Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes.
Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak-supervision labelling, curate balanced datasets, and auto-surface fresh failure cases into retraining.
Work with MLOps & Data Platform teams to scale distributed training and optimize models for real-time edge inference.
Requirements
3+ years building deep-learning systems (industry or research) with shipped models or published artifacts.
Deep hands-on 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 & state management, distributed training strategies.
Strong Python + PyTorch/JAX; ability to profile, debug numerics, and write maintainable research code.
Familiarity with modern software engineering practices.
Clear documentation of experiments and crisp communication of trade-offs.
Nice to have
Robotics or autonomous driving experience.
Experience applying RL to LLMs or robotics.
Experience with VLA (vision-language-action) models.
Proven productization of deep nets (latency/throughput constraints, telemetry, on-device optimization).
Publications at top-tier deep learning conferences or equivalent open-source contributions.
Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks.
Conditions
Competitive equity: stock options with meaningful upside as we scale.
30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
Private healthcare, including virtual and in-person care.
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in-office.
Work at the frontier with world-class engineers, researchers, and product experts.
Real ownership with direct access to founding leadership.