Robot Learning Research Engineer — Few-Shot Imitation

United States Digital Space LLC; Paris; Sur place; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Equity

English-speaking environment

Résumé du poste

We value deep research expertise, collaboration with engineering teams, and a track record of published work in top venues. English is the internal working language; on-site in France with a strong research mission and equity offers.

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 such as ICRA, IROS, CoRL, NeurIPS, ICML, RSS, or equivalent.
• Strong Python skills and fluency with PyTorch.
• Hands-on experience training, evaluating, and debugging learning systems on real robots.

Responsabilités

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

Connaissances

Python

PyTorch

Imitation learning

Data-efficient learning

English proficiency

Formation

PhD or MSc in robotics or ML

Outils

ROS 2

Description du poste

We value deep research expertise, collaboration with engineering teams, and a track record of published work in top venues. English is the internal working language; on-site in France with a strong research mission and equity offers.