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 founding engineer, you'll own the model pipeline end-to-end. You'll have $750K in compute credits across Azure, AWS, and GCP, NVIDIA Inception perks, and a bespoke data pipeline already running.
What you'll do:
- Select pre-training architectures for our foundation model
- Own the train-test-deploy loop: curation, training runs, evaluation, deployment
- Collaborate with research organizations
- Set technical direction for the model team
You should have:
- Experience implementing models end-to-end on robots, or research experience in VLAs, world models, or imitation learning
- Proof of decision-making with incomplete information
- Extremely competitive nature
- A track record that shows you genuinely want to see robots deployed in the real world - projects, research, or competitions
Our culture is built on honesty and willingness to fail fast. If you see yourself fitting here, please apply.
Comp:
- $80K-$200K
- 0.1%-2% equity
- Incredible office in NYC. Equipment budget, meals, etc.
