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Open nowPosted 1540 days ago

NLP 연구인턴

LG AI Research37 open roles

Where
Gangseo-gu, Seoul, South Korea
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Your applicationOpen nowNLP 연구인턴LG 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.

  4. CV RocketApplied on LG AI Research's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

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 1540 days ago

LG AI Research median: 43 days open

The posting

팀 소개

Language Lab은 자연어 처리 분야의 기술적 난제 해결을 위한 핵심 선행기술을 연구하며 Learning-by-Reading AI 확보를 통한 챗봇 등 Language 분야 서비스 혁신 이라는 비전을 가지고 있습니다. 최적의 연구 환경에서 다양한 현장의 데이터를 다루어 볼 수 있는 기회이자, 최고의 전문가들과 함께 심도있게 연구하고 구현해 보는 값진 경험을 쌓을 수 있는 인턴 프로그램에 지원해주세요!

수행 업무

  • 1) Large Language Model Tuning - Pre-trained Language modeling의 Post-training, Instruction Tuning, RL alignment과 같은 튜닝과 관련된 연구와 문서 질의응답, 문서생성, 대화 기능 등의 기능 최적화 2) Advanced RAG - 최신의 LLM기술을 활용하여 사용자의 입력과 검색 후보를 좀더 정확하게 분석하고 답변을 신뢰할 수 있게 연구와 개발 3) Text Analytics - Large Language Model과 다양한 언어처리 기술 기반으로 정보추출, 문서요약 등의 기술 4) Document Understanding - 논문, 특허 정보로부터 물성 정보, 실험조건 등의 최신 기술을 분석하고 데이터 베이스화하는 전문영역 문서 이해기술과 PPT와 같은 일반문서의 구조와 내용을 더 잘 이해하기 위한 기술 5) Data Analysis & Visualization - 사용자의 질의를 분석하여 데이터를 검색하거나 검색된 데이터를 통게적으로 분석하고 시각화하는 기술 6) Speech-To-Text/Text-To-Speech - 최신 End-To-End Speech-To-Text 기술과 자연스러운 음성을 합성하는 기술에 대한 연구를 진행 중 7) 대화형 Agent - AI가 사람수준으로 대화가 가능하도록 하는 기술을 연구하고 있습니다. 대화 맥락 이해, 대화 기억 및 추론, 상황에 맞는 실행 계획 등의 기술

지원자격

  • 석사 학위 이상
  • Deep Learning, Machine Learning 알고리즘 연구/개발 경험
  • Tensorflow, PyTorch, JAX 등 Machine Learning Framework 활용 경험
  • Python 등 프로그래밍 언어 경험
  • 6개월 근무 가능자 (기간 협의 가능)

전공

  • 컴퓨터공학, 전산학, 전자공학, 산업공학

전형절차

  • 서류심사 → 코딩테스트 → 1차 직무 인터뷰(온라인) → 최종 합격

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

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