Salary
≈ $44k – $112k per year (Estimated)
Location
In office (Seoul)
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Apr 17, 2025. Empieiji MPAG Inc. scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Top of page MPAG는 모두가 음악을 즐길 수 있는 지속가능한 플랫폼을 만듭니다. 소규모 예술인 창작 지원 전세계 소규모 예술인들에게 새로운 수익원을 제공하며, 적극적으로 지원합니다.
MPAG는 150만 글로벌 유저가 사용하는 음악 플랫폼을 운영하며, 음악과 기술의 경계를 허무는 혁신을 만들어가고 있습니다.
MPAG의 핵심 기술인 음악 AI를 함께 연구하고 개발하며, 전 세계 유저들에게 전에 없던 음악 경험을 선물할 열정적인 AI Researcher를 찾습니다.
주요업무
- 자동 음악 전사 (Automatic Music Transcription) 모델 및 알고리즘 연구 개발 및 개선
- 음악 분석(Music Information Retrieval)을 위한 딥러닝/머신러닝 모델 개발 및 학습
- 최신 AI 기술 동향(e.g., Generative AI)을 리서치하고 프로덕트에 적용
- 대용량 음악 데이터를 처리하고 분석하기 위한 데이터 파이프라인 구축 참여
자격요건
- 컴퓨터 공학, 인공지능/기계학습(AI/ML) 등 관련 분야 석사 학위 이상
- Python에 능숙하고, TensorFlow, PyTorch 등 하나 이상의 딥러닝 프레임워크 사용 경험
- 머신러닝/딥러닝에 대한 탄탄한 이론적 지식과 실제 모델 개발 경험
- 새로운 기술을 학습하고 적용하는 데 열의가 있으신 분
- 원활한 커뮤니케이션과 협업 능력을 갖추신 분
우대사항
- 음악 정보 검색(MIR) 또는 음악 관련 AI 연구 개발 경험 (e.g., AMT, source separation, music generation)
- Music Computing, 음성인식, AI/ML 분야의 Top-tier 학회/저널 논문 저자 (e.g., ISMIR, NeurIPS, ICML, ICASSP 등)
- 음악 이론(Music Theory), 신호 처리(Signal Processing) 또는 음악의 수학적 원리에 대한 깊은 이해가 있으신 분
- 음악을 진심으로 사랑하고 즐기시는 분
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