AI Reinforcement Learning Engineer

Revelrobotics — Czechia · Posted ~1 week ago

Mid Onsite

Skills

Python PyTorch Deep learning Machine learning Model training Software engineering JAX Deep Learning Reinforcement Learning

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Summary

An AI engineer is sought to design reinforcement learning methods, train models from human-generated data, build scalable pipelines, and deploy intelligent systems into physical platforms.

Highlights

Work on advanced AI research and real-world robotics applications with opportunities to develop cutting-edge machine learning systems.

Description

REVEL is an AI robotics company developing physical intelligence for general-purpose humanoid robots. We capture the force, dexterity and intent of human work with our Neural Gambit wearable, and use it to train RAI, the intelligence that powers our robots. REVEL is headquartered in Palo Alto, California, with R&D and engineering facilities in Prague and Hradec Králové, Czech Republic. This role is on-site with our engineering team in the Czech Republic. Design RL and post-training methods to make policies robust and reliable. Our RAI team builds the core intelligence that powers REVEL robots, learning from the force and intent Neural Gambit captures. Responsibilities Train and evaluate models on REVEL's human-demonstration dataBuild scalable, reproducible training and evaluation pipelinesCollaborate across the RAI, hardware and data teamsPush results from research into production on the robot Requirements Strong Python and PyTorch (or JAX)Solid deep-learning fundamentals and experimental rigourGood software engineering practicesBias to ship and iterate quickly Bonus Qualifications Experience with vision-language-action or foundation modelsPublication record in ML or roboticsExperience deploying to physical hardware