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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Engineer - Robot Learning - **Company:** Bleu Robotics - **Location:** Paris, France - **Contract:** Permanent contract - **Skills:** Learning Management Systems, Software Debugging, Python (Programming Language), Machine Learning, Pytorch - **Published:** July 8, 2026 - **Apply:** https://fr.indeed.com/viewjob?jk=76744d370a1249dc ## About the Role * PhD or MSc in robotics, machine learning, or a closely related field, from a leading research lab * Track record of published research at top venues such as ICRA, IROS, CoRL, NeurIPS, ICML, RSS, or equivalent * Demonstrated research expertise in imitation learning, learning from demonstration, or policy learning for robots - ideally with a focus on data efficiency or few-shot learning * Strong Python skills and fluency with PyTorch * Hands-on experience training, evaluating, and debugging learning systems on real robots (not solely simulation) * Professional proficiency in English (internal working language), The strongest candidates will combine deep research expertise with experience across several of the following: * Few-shot learning or meta-learning for control * Representation learning for embodied agents * Learning on humanoid robots or other complex high-DoF platforms * Postdoctoral experience, or research positions in industry labs or top academic groups * A history of translating research into deployed systems * Familiarity with ROS 2 and standard robotics infrastructure ## Description We are hiring Research engineer in Robot Learning to design the next generation of few-shot, data-efficient imitation learning algorithms powering our robots. Your work will define how Bleu Robotics teaches robots new industrial tasks - and how fast, from how little data, and how reliably. The central research challenge is data efficiency: learning useful, generalizing behaviors from a handful of demonstrations, not thousands. Hitting our one-hour demonstration-to-deployment target depends directly on the algorithms you will design. This is a frontier research problem with immediate, measurable industrial impact: every gain in sample efficiency translates into a faster, broader, and more useful product. This is a research role focused on shipping algorithms into a real product. We are an early-stage company and do not publish at this stage. You will work in close collaboration with the Vision & Perception and Integration teams to ensure the methods you develop run on real robots, in real factories., * Design, prototype, and evaluate few-shot imitation learning algorithms, with a primary focus on data efficiency * Advance our internal state of the art in imitation learning, policy learning, and representation learning for control * Run rigorous experiments on real robots and contribute to the data, evaluation, and infrastructure needed to do so * Translate research prototypes into algorithms robust enough to ship as part of our product * Collaborate with the Vision & Perception and Integration teams to move research from prototype to production * Help shape the long-term research agenda of the company ## Related Videos - [Robots are coming into the wild! 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