Humanoid creates advanced humanoid robots that integrate seamlessly into daily life, enhancing human potential. Learn more about our mission and vision.
About the role
As an Autonomy Engineer focused in VLA Pre-training, you will work on all aspects of training capable policies. You'll pre-train base models on a diverse, multi-embodiment corpus of trajectories, fine-tune policies to excel at specific tasks, shape data collection processes, and explore effective ways to generate and use synthetic data. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it
- 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, you can profile, debug numerics, and write maintainable research code
- Familiarity with modern software engineering practices
- You document experiments clearly and communicate trade‑offs crisply
More about this role
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
As an Autonomy Engineer focused in VLA Pre-training, you will work on all aspects of training capable policies. You'll pre-train base models on a diverse, multi-embodiment corpus of trajectories, fine-tune policies to excel at specific tasks, shape data collection processes, and explore effective ways to generate and use synthetic data.
This is primarily a deep learning role, so we're looking for experience solving real-world problems with modern neural networks. Robotics experience isn't strictly required, but if you're coming from outside the field, be prepared to get up to speed on a new domain quickly.
Post-train policies via behavior 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...
Browse similar: AI jobs · AI startup jobs · Startup jobs