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…

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What we'd score you on

reqspace match rubric

Five 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.

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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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