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Senior Staff Machine Learning Engineer – Search & Discovery

Coupang Internal · Seoul

New
Senior 🇬🇧 English
Python Java Recommendation systems Search systems LLMs PLMs Embedding models AWS GCP Vertex AI

Job description

About the role

The Senior Staff Machine Learning Engineer will lead the design, development, and evolution of Coupang's end‑to‑end recommendation systems. This role places AI/ML innovation at the core of recommendation quality, covering ranking, retrieval, and relevance models while scaling robust systems that power millions of daily customer interactions.

Key responsibilities

  • Own the Recommendation service, a critical component for delivering a wow experience to customers.
  • Collaborate with global cross‑functional teams to co‑build a world‑class recommendation system.
  • Mine large volumes of data to extract insights on customer behavior.
  • Develop new ML models and features to create or improve recommendation algorithms.
  • Create data pipelines, train models, run experiments, and launch validated models.
  • Mentor and grow engineers across teams.

Required profile

  • Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related field.
  • Proven ability to derive actionable insights from complex datasets and solve business‑critical problems using advanced AI/ML technologies.
  • Demonstrated experience as a technical leader driving cross‑functional collaboration on large‑scale solutions.
  • 8+ years of professional experience in applied AI/ML with large, complex datasets.
  • Fast‑paced self‑learner with a track record of launching successful algorithms that drive measurable business impact.
  • Professional proficiency in Python and/or Java.
  • Excellent communication skills in English.

Required skills

  • Python
  • Java
  • Recommendation systems
  • Search systems
  • Large language models (LLMs), pre‑trained language models (PLMs) and embedding models
  • Cloud platforms: AWS, GCP (including Vertex AI)
  • Online serving systems at scale

Questions fréquentes

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Source : ats:greenhouse

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Published 3시간 전

Expires 1개월 후

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Coupang Internal

Seoul