Robot Learning Research Engineer: Few-Shot AI for Industry

Bleu Robotics

Paris

Sur place

EUR 65 000 - 100 000

Plein temps

Il y a 4 jours
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Avantages offerts par ce poste

Equity
English-speaking environment
Fair compensation
Opportunity to ship research

Résumé du poste

Bleu Robotics is hiring a Research Engineer in Robot Learning to design few-shot, data-efficient imitation learning algorithms powering our robots. Your work will translate research prototypes into production-ready methods that run on real machines in factories. You will collaborate with the Vision & Perception and Integration teams; a PhD or MSc in robotics or ML is required, along with publications and hands-on experience with PyTorch and ROS2.

Qualifications

  • 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 (ICRA, NeurIPS, etc.).
  • Demonstrated research in imitation learning, few-shot learning, or policy learning for robots.
  • Strong Python skills and fluency with PyTorch.
  • Hands-on experience training and evaluating learning systems on real robots (not only simulation).
  • Professional proficiency in English (internal working language).

Responsabilités

  • Design, prototype, and evaluate few-shot imitation learning algorithms with a focus on data efficiency.
  • Advance state-of-the-art in imitation learning, policy learning, and representation learning for control.
  • Run rigorous experiments on real robots and contribute to data, evaluation, and infrastructure.
  • Translate research prototypes into production-ready algorithms for our product.
  • Collaborate with Vision & Perception and Integration teams to deploy research.
  • Help shape the long-term research agenda of the company.

Connaissances

Python
PyTorch
English proficiency
Research experience

Formation

PhD or MSc in robotics or ML

Outils

ROS2

Description du poste

Bleu Robotics is hiring a Research Engineer in Robot Learning to design few-shot, data-efficient imitation learning algorithms powering our robots. Your work will translate research prototypes into production-ready methods that run on real machines in factories. You will collaborate with the Vision & Perception and Integration teams; a PhD or MSc in robotics or ML is required, along with publications and hands-on experience with PyTorch and ROS2.
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