Machine Learning Engineer developing and operating ML systems for video analysis with a focus on reliability and performance. Join TwelveLabs in pioneering multimodal AI from Seoul.
About the role
- Staff Machine Learning Engineer overseeing training ops for multimodal AI at TwelveLabs. Pioneering video understanding technology in a global hybrid team.
Responsibilities
- Drive technical direction for training infrastructure and training operations within Pegasus while remaining deeply hands-on in critical system design and implementation.
- Own the design and evolution of scalable end-to-end training pipelines, with a focus on reliability, reproducibility, efficiency, and fast iteration in large-scale distributed environments.
- Lead technical decision-making across data curation workflows, training systems, evaluation pipelines, and ML infrastructure for multimodal model development.
- Improve and automate the end-to-end training lifecycle so research ideas can be translated into robust systems and integrated into production model development quickly and reliably.
- Mentor engineers and raise the team’s execution bar through strong technical judgment, design reviews, and hands-on collaboration.
- Explore and adopt AI-assisted development tools such as Claude, Gemini, and GPT to improve productivity across coding, experimentation, debugging, and documentation.
Requirements
- Significant experience building and productionizing large-scale ML systems as a hands-on individual contributor.
- Experience driving technical direction across complex ML infrastructure or training systems projects and making architectural decisions in demanding engineering environments.
- Strong experience with large-scale distributed training systems, training infrastructure, or large-scale data processing pipelines.
- Strong foundations in machine learning and experience with multimodal systems such as vision, language, or video-based models.
- Strong technical judgment across system design, performance, reliability, reproducibility, and long-term maintainability.
- A track record of mentoring engineers and creating technical leverage beyond your own individual contributions.
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
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