
Job Description
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.
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Job Details
- Category
- Software
- Employment Type
- Full Time
- Location
- New York, NY
- Posted
- Compensation
- $80,000 - $180,000 per year
About Intelligence Factory
Human Intelligence for Robots
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