Twelve Labs

Senior Machine Learning Engineer

Twelve Labs

full-time

Posted on:

Location Type: Hybrid

Location: Seoul • South Korea

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Job Level

Senior

Tech Stack

Kubernetes

About the role

  • Lead complex ML systems work across Pegasus from design through production, especially in areas with greater technical ambiguity or system complexity.
  • Make strong design and architectural decisions across deployment, inference, evaluation, monitoring, and ML infrastructure within your domain.
  • Improve critical parts of the ML lifecycle so research advances can be integrated into production quickly and reliably.
  • Drive improvements to model serving, inference architecture, and ML workflows for Video Language Models (VLMs) in production.
  • Support other engineers through technical guidance, design reviews, and strong engineering judgment.
  • 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 ML systems as a hands-on individual contributor.
  • Experience independently owning technically complex ML projects end-to-end.
  • Strong foundations in machine learning and experience with multimodal systems such as vision, language, or video-based models.
  • Experience designing or operating distributed ML or data systems, ideally in Kubernetes-based environments.
  • Strong technical judgment in system design, performance tradeoffs, reliability, and production operations.
  • Strong communication skills and a track record of supporting other engineers through technical guidance.
  • Preferred qualifications: Experience serving or optimizing LLM/VLM systems in production, including inference optimization, throughput and latency tuning, batching, caching, or quantization.
  • Experience designing and operating mission-critical AI/ML applications from 0 to 1 and scaling them in production.
  • Experience with large-scale training or serving infrastructure for ML systems, including high-performance GPU environments.
  • Master’s or PhD in Machine Learning, Computer Science, or a related technical field.
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
machine learningmultimodal systemsdistributed ML systemsKubernetesinference optimizationthroughput tuninglatency tuningbatchingcachingquantization
Soft Skills
technical judgmentcommunication skillstechnical guidancedesign reviewsengineering judgment
Certifications
Master’s in Machine LearningPhD in Machine LearningMaster’s in Computer SciencePhD in Computer Science