workable
Robot Learning Engineer
Origin
Bengaluru, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago
PythonPyTorchROS2TensorRTONNXCUDA
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About Origin
Origin is building physical AI for the built world. Our robots autonomously finish building interiors at production quality. OG-1 is deployed on live NYC commercial construction sites today. Backed by Accel.
Our system runs a Multi Agent Action Expert architecture: classical precision algorithms orchestrated alongside learned policies. The job is systematically expanding the learned components while keeping the system production-safe.
The Role
You own the full lifecycle of learned components on OG-1: from data collection and model training through edge deployment on Jetson AGX Orin. Every research project will have a deployment milestone. This is not a lab position.
What You Will Do
- Train and deploy VLA models for contact-rich manipulation using our imitation learning infrastructure.
- Build the data flywheel: teleoperation pipelines (GELLO, SpaceMouse, VR), DAgger-style online correction, demonstration curation.
- Research and prototype world models for surface state prediction, spray dynamics, and anomaly detection.
- Design offline evaluation metrics that predict real-world finishing quality before deployment.
- Optimize models for edge: TensorRT compilation, latency profiling, memory budgeting on dual Jetson AGX Orin.
- Hands-on experience with world models , including building or working with predictive or generative environment models (e.g., latent dynamics, video prediction, or planning-oriented models)
- Design the interface where learned policies propose actions and deterministic safety layers enforce constraints.
Requirements
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