About the role
We're building foundational models for general purpose manipulation. Our data infrastructure allows us to generate rich, multi-modal human demonstration data at exponential scale.
We are using this data to train general-purpose manipulation models that work reliably across tasks, objects, and robot embodiments. We are live in deployment across multiple verticals.
As a forward deployed engineer, you'll own customer deployments end-to-end and contribute directly on the model side. This is an opportunity to pioneer deployments with the very first companies that want robots working at large scale.
What you'll do:
- Post-train our foundation model for customer tasks and robots
- Integrate and deploy on real hardware at customer sites
- Debug deployments on-site - hardware, drivers, policy
- Feed deployment learnings back into model training
You should have:
- Hands-on experience deploying learned policies or control systems on real robots
- Strong ML fundamentals - enough to fine-tune, evaluate, and debug models yourself, not just run scripts
- Ability to root-cause across the full stack: hardware, drivers, perception, policy
- Extreme ownership over deployment outcomes
Our culture is built on honesty and willingness to fail fast. If you see yourself fitting here, please apply.
Comp:
- $80K-$180K
- 0.1%-1.5% equity
- Incredible office in NYC. Equipment budget, meals, etc.
