Build and maintain the end-to-end data and learning engine for RoboForce's Physical AI stack, covering data collection, curation, and post-training infrastructure. Design scalable pipelines for multimodal robot data, annotation tooling, and reinforcement learning loops to support VLA and manipulation policy training. Requires 5+ years of experience in Python, data pipelines, and ML training workflows with a focus on robotics data.
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Why RoboForce
RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
We are looking for a Senior / Staff AI Research Engineer, Data Infrastructure to build the data and learning engine behind RoboForce's Physical AI stack. In this role, you will own the full pipeline — from raw teleoperation and UMI device data collection through curation, annotation, and storage, to post-training infrastructure that scores demonstrations, identifies failure patterns, and closes the loop back into model retraining.
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