
Senior ML Research Engineer
Twelve Labs
full-time
Posted on:
Location Type: Hybrid
Location: Seoul • South Korea
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Job Level
About the role
- Design and execute experiments to improve multimodal embedding model quality, spanning model architecture, training methodology, data composition, and evaluation
- Build and optimize large-scale distributed training pipelines (multi-node, multi-GPU) for contrastive and representation learning
- Develop and improve data curation, filtering, and quality assessment pipelines at scale
- Conduct ablation studies to systematically evaluate design choices and communicate findings to guide technical direction
- Implement evaluation frameworks and benchmarks that rigorously measure embedding model quality
- Collaborate with the search/serving team to ensure model improvements translate to end-to-end retrieval quality gains
Requirements
- 4–7 years of industry experience in computer vision, NLP, or multimodal learning, with a track record of shipping ML systems to production
- Strong proficiency in Python and PyTorch, with hands-on experience in distributed model training
- Experience in contrastive learning, representation learning, or embedding models, demonstrated through shipped products, publications, or open-source contributions
- End-to-end ownership experience: taking a model from research idea through training to production deployment, not just running experiments in isolation
- Ability to independently drive research projects from problem definition through experiment design to conclusions
- Effective communication skills for collaborating with colleagues from diverse backgrounds
Benefits
- 글로벌 B2B 고객과 함께 성장하는 Global Team
- 자율성과 협업을 모두 갖춘 하이브리드 근무
- 전 직원에게 맥북 및 70만 원 상당 재택근무 장비 지원, 3년 주기로 최신 장비 교체
- 식사·교통비 등 자유롭게 사용할 수 있는 월 60만 원 한도 법인카드 제공
- 사무실 내 스낵바(간식, 커피, 신선식품 제공)
- 연말 2주간 겨울방학 운영
- 연 1회 건강검진 지원
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPyTorchmultimodal embedding modelscontrastive learningrepresentation learningdistributed model trainingdata curationdata filteringquality assessmentevaluation frameworks
Soft Skills
effective communicationindependent project managementcollaborationproblem definitionexperiment design