VLA/Robot Learning Engineer
Seongnam-sionsitemid
Posted 2mo ago · via Workable
About this role
Vision-Language-Action(VLA) 및 imitation learning·강화학습 기반의 manipulation policy를 개발하여, 실제 로봇의 task 성공률과 일반화(generalization) 성능을 지속적으로 끌어올리는 역할입니다. 다양한 작업과 환경에서 로봇이 스스로 잘 동작하도록 만드는, AI Core의 핵심 학습 축을 담당합니다. In this role you build manipulation policies based on Vision-Language-Action (VLA), imitation learning, and reinforcement learning — continuously improving real-robot task success and generalization. You own a core learning axis of AI Core: making robots perform reliably across diverse tasks and environments.…
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, pytorch, claude, linear, notion…
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 Seongnam-si. We weight your proximity and willingness to relocate.
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.
pythonpytorchclaudelinearnotionslackteamsworkable
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