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Open nowPosted 382 days ago

Research Scientist - Chemical Agentic AI

LG AI Research37 open roles

Where
Gangseo-gu, Seoul, South Korea
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Your applicationOpen nowResearch Scientist - Chemical Agentic AILG AI Research · Gangseo-gu, Seoul, South Korea

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. LG AI Research postings stay open a median of 43 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 382 days ago

LG AI Research median: 43 days open

The posting

팀 소개

Materials Intelligence Lab은 가장 최신의 AI기술로, 화학/소재 분야의 연구를 혁신합니다. Scientific Knowledge와 연계하여 최신 AI 기술을 연구하여, 오랜 시간과 자원 투입이 필요한 소재 개발 연구를 앞당길 수 있는 플랫폼을 만들어갑니다. LG 전 계열사 및 세계 유수 기관과의 열린 협업체계를 구축하고 있습니다.

수행 업무

  • Molecular/Scientific discovery 자동화를 위한 LLM 기반 에이전트 시스템 연구 및 개발
  • Scientific Tools (분자 물성 예측, 역합성, Molecular/Reaction search, Scientific Knowledge Extraction, AutoML Tooling 등)를 통합, Planning, Orchestration 및 최적화하는 워크플로우 설계
  • 과학 문헌으로부터 데이터 추출 및 전처리, 분자 물성 예측을 위한 ML 모델의 학습·평가 및 자동 Finetuning을 포함한 AutoML 시스템 구축
  • 주요 연구 분야 : Multi-modal Learning, Large language models, Graph representation learning, AutoML, Generative Models, Reinforcement Learning

지원자격

  • 관련 분야 석사 또는 박사 학위 소지
  • Deep Learning/Machine Learning 알고리즘 연구/개발 경험 보유

우대사항

  • Deep Learning/Machine Learning을 활용한 경력
  • PyTorch등 Machine Learning Framework 활용 능력
  • 새로운 ML/DL Architecture 및 알고리즘/방법론의 설계/구현 경험

전공

  • 컴퓨터공학, 전산학, 전자공학, 산업공학, 기계공학, 화학공학, 재료공학, 생명공학, 물리학, 화학, 생물학

전형 절차

  • 서류심사 → 코딩테스트 & LG Way Fit Test (온라인 인성검사) → 1차 기술 인터뷰 (온라인) → 최종 인터뷰 (오프라인)

* 전형 절차는 변경될 수 있습니다. 서류 합격 시 전형 절차에 대해 별도로 안내해 드립니다.

현재 LG AI연구원은 병역지정업체가 아니므로, 전문연구요원 채용 및 전직이 불가함을 알려드립니다. 지원 시 문제가 있을 경우 [email protected] 로 문의 부탁드립니다.

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