Member of Technical Staff, Robot Learning (Paris, London)
remote
via Ashby
About this role
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…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, c++
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonc++
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