Member of Technical Staff, Robot Learning (Paris, London)
—
What You’ll Do • Develop and optimize a learning-based robotic manipulation control stack • Design and maintain a teleoperation system with smooth, precise motion and low latency • Train robotic policies for manipulation and locomotion with reinforcement learning and imitation learning • Deploy robotic policies and diagnose latency or bottlenecks in the control pipeline • Analyze and minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior • Collaborate with a team of driven individuals committed to building general-purpose Physical AI What You’ll Bring • Passion for your craft and demonstrated excellence in robotics engineering • Exceptional ownership and initiative—finding and solving problems independently • Focus, attention to detail, patience, and a methodical approach to complex tasks • Production-level expertise in modern Python or C++ • Extensive experience building and deploying real-world learning-based robotic systems (5+ years) • Bonus: Hands-on experience troubleshooting and maintaining robotic systems across mechanical, electrical, and software components
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| Reinforcement Learning | llm_hard |
100%
|
| Skill | Source | Confidence |
|---|---|---|
| Problem-Solving | llm_soft |
100%
|
| Attention to Detail | llm_soft |
100%
|
| Self-Motivation | llm_soft |
100%
|
| Initiative | llm_soft |
100%
|
| Collaboration | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Member of Technical Staff, Robot Learning (Paris, London) | extracted | 3504 | 2026-03-22 02:53 | |
| Member of Technical Staff, Robot Learning (Paris, London) | classified | 446 | 2026-03-21 21:08 | |
| graduate software engineer in London | gb | duplicate | 25000 | 2026-03-21 17:53 |
| junior AI engineer in London | gb | processed | 14347 | 2026-03-21 17:04 |
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