Machine Learning Engineer optimizing multimodal embedding models for AI-driven video analysis at Twelve Labs. Collaborating with global teams to enhance production pipelines and model performance.
Responsibilities
멀티모달 임베딩 모델의 대규모 분산 학습 파이프라인을 설계하고 최적화합니다.
프로덕션 환경에서 임베딩 모델의 추론(Inference) 성능을 최적화합니다 (처리량, 지연시간, 비용 효율).
벡터 검색 시스템 및 임베딩 서빙 인프라를 설계하고 구축합니다.
연구 결과가 빠르게 프로덕션으로 전환될 수 있도록 모델 개발-트레이닝-서빙 전반의 ML 파이프라인을 개선하고 자동화합니다.
데이터 필터링, 평가 메트릭 설계 등 Applied Research 문제를 해결하여 모델 품질과 사용자 경험을 개선합니다.
Claude, Gemini 등 AI 기반 개발 도구를 적극적으로 활용하여 개발 생산성을 높이는 방법을 탐구하고 실험합니다.
Research, Product, Infrastructure 팀과 긴밀히 협업하며, 모델이 실제 고객에게 전달되기까지의 End-to-End 과정에 오너십을 가집니다.
Requirements
컴퓨터 비전, 자연어 처리, 또는 멀티모달 학습 분야의 연구 또는 개발 경험이 있으신 분
Python, PyTorch에 능숙하고, 대규모 분산 학습 환경에서 모델 트레이닝 경험이 있으신 분
임베딩 모델, contrastive learning, 또는 representation learning에 대한 이해가 있으신 분
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