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
About Intelligence Factory
Human Intelligence for Robots
Required skills
Other roles at Intelligence Factory
Job details
Salary
$1,500,000 - $4,000,000
Equity
0.01% - 0.2%
Location
Pune, Maharashtra
Experience
0+ years
Funding
Total raised
$500K
Last stage
Pre-seed
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.