몰로코 Senior/Staff Applied Scientist (시니어/스태프 응용 과학자)

한 줄 요약

몰로코 Senior/Staff Applied Scientist (시니어/스태프 응용 과학자) — 몰로코 · Seoul, Korea. 현재 상태: 진행·예정.

정보 갱신일 2026-10-21

조건·일정 확인

기관·대학

몰로코

지역·근무지

Seoul, Korea

학력

박사 이상

담당 업무

• Drive ambiguous signals to defensible root cause. A KPI regression. A lift number that looks too good. An unexplained cost increase. A model that quietly degraded after an upstream data change. You will trace it across the model, the data pipeline, the auction, and the serving stack — and be right.
• Ship the fix. A new feature, a reformulated objective, a recalibrated model, a changed bidding policy, or a correction upstream in the data. You own it through launch and through the readout afterward.
• Design evaluation that survives scrutiny. Online experiments and offline evaluation in a setting where auctions are non-stationary, treatment and control interfere with each other, and conversions land days late.
• Leave behind methodology, not just results. Tooling and frameworks that let other teams answer the next version of the question without you.
• Communicate to people who will act on it. ML engineers, infrastructure, product, and the account teams sitting across from advertisers.

우대 사항

• Ads, recommendation, search ranking, marketplaces, or another domain with real-time auctions or bidding.
• Probability calibration, delayed feedback, or selection bias in logged-bandit data.
• CTV, attribution modeling, or incrementality measurement.
• PyTorch or TensorFlow applied to tabular or sequential production data at scale.

공식 출처와 다음 단계

원천 정보 갱신: 2026. 10. 21. PM 5:06

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관련 정보

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