Staff, Machine Learning Research Scientist (Azar)

Seoulonsitemid

Posted 4 days ago · via Lever

About this role

사람과 사람을 연결하는 Azar에서, 기존 기술로는 접근하기 어렵지만 머신러닝으로 풀 수 있는 문제를 해결합니다. 아자르의 Recommendation, Moderation, 그리고 새로운 혁신 영역의 문제를 다루며, 만들어낸 기술이 실제 서비스 성장에 기여하는 것을 목표로 합니다.

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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

We compare your skills against the role requirements.

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 Seoul. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
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