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 data engineer, you'll architect the highest quality robotics dataset in the world - owning the pipelines that turn raw sensor data into the datasets our models train on.
What you'll do:
- Build pipelines that turn raw multi-modal sensor data into training-ready datasets
- Build tooling for data exploration, filtering, versioning, and release management
- Implement quality checks that catch bad data before training
- Work in a tight feedback loop with the model team to improve data for training
You should have:
- Strong Python and experience building data pipelines at scale
- Experience with multi-modal or time-series sensor data (video, IMU, force - any of these)
- Experience with data validation at scale - anomaly detection, distribution checks, or debugging corrupted data
- Proof of decision-making with incomplete information
Our culture is built on honesty and willingness to fail fast. If you see yourself fitting here, please apply.
Comp:
- ₹15L-₹40L
- Full-time, on-site in Pune
