Robotics Engineer - Humanoids focus

mid

via Ashby

About this role

About the Role: We are looking for strong candidates who have a background in robotics and machine learning, especially with experience in Reinforcement Learning, Whole-Body Control and Humanoid Locomanipulation. This role offers a unique mix of conducting research and deploying whole body humanoid models. Responsibilities - Train and deploy RL/IL policies for loco-manipulation tasks that perform reliably in the real world, measured by field task success rate. - Design high fidelity simulation environments that advance sim-to-real transfer and reduce the gap between simulation training performance and real-world deployment, enabling faster iteration cycles. - Define research goals informed by practical engineering concerns.…

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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: pytorch, tensorflow

2

Level fit

This role is mid-level. We check your trajectory against it.

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 based in a specific location. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pytorchtensorflow

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