Senior Robot Learning Scientist — Real-World Policy & Trials

present of AI; San Francisco (CA); Hybride; USD 180 000 - 240 000; Plein temps

Résumé du poste

Hub is seeking a Senior Research Scientist in Robot Learning, based in San Francisco or Toulouse. The role blends hands-on coding, robot trials, and experimental design to advance policy learning with real robots.

A PhD and several years of research experience with publications in robot learning are expected, including experience training and evaluating policies on physical robots. The ideal candidate will turn failures into testable questions, mentor junior researchers, and help shape the lab's

Qualifications

• This role requires turning real robot failures into testable questions.
• Candidates should have published in robot learning and trained/evaluated policies on physical robots.

Responsabilités

• Turn real robot failures into testable questions and answer with careful experiments.
• Mentor others and help shape the lab's research agenda.
• Balance hands-on coding with robot trials to advance policy learning.

Connaissances

Robot learning

Policy testing on real robots

Hands-on coding

Mentoring

Experiment design

Formation

PhD in robotics / computer science

Outils

Python

ROS

Description du poste

Hub is seeking a Senior Research Scientist in Robot Learning, based in San Francisco or Toulouse. The role blends hands-on coding, robot trials, and experimental design to advance policy learning with real robots.

A PhD and several years of research experience with publications in robot learning are expected, including experience training and evaluating policies on physical robots. The ideal candidate will turn failures into testable questions, mentor junior researchers, and help shape the lab's