Human Intelligence for Robots. Backed by Y Combinator.
About the role
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. Our culture is built on honesty and a willingness to fail fast. If you see yourself fitting here, please apply.
What they're looking for
- Own the train-test-deploy loop: curation, training runs, evaluation, deployment
- Select and tune architectures for our foundation model
- Collaborate with research organizations
- Set technical direction for the model team
More about this role
We're building foundation models for deploying general-purpose manipulation robots.
Our data infrastructure generates rich, multi-modal human demonstration data at exponential scale. We use it to train manipulation models that work reliably across tasks, objects, and robot embodiments. We are live in deployment across multiple verticals.
The robotics industry is focused on building bigger, more generalizable pre-trained models, but a robot has no commercial value unless it works 99% of the time. Our research is focused on bridging the gap between 40% to 99% in real world deployments.
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.
- Own the train-test-deploy loop: curation, training runs, evaluation, deployment
- Select and tune architectures for our foundation model
- Collaborate with research organizations
- Set technical direction for the model team
- 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
-...
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