Machine Learning Engineer
Twelve Labs
full-time
Posted on:
Location Type: Hybrid
Location: Seoul • South Korea
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Tech Stack
About the role
- Build, improve, and operate production ML systems for Pegasus, with a focus on reliability, performance, and maintainability.
- Work across core parts of the ML stack, including deployment, inference, evaluation, monitoring, and supporting infrastructure.
- Develop systems for serving Video Language Models (VLMs) and handling multimodal data and metadata at production quality.
- Make strong technical decisions within your area and drive execution with a high degree of ownership.
- Explore and adopt AI-assisted development tools such as Claude, Gemini, and GPT to improve productivity across coding, experimentation, debugging, and documentation.
Requirements
- Strong software engineering and machine learning fundamentals.
- Experience building and shipping ML systems in production.
- Experience with multimodal data and familiarity with areas such as computer vision, natural language processing, LLMs, or VLMs.
- Experience with distributed ML or data workflows, ideally in Kubernetes-based environments.
- Strong engineering judgment around performance, reliability, and maintainability in production environments.
- Experience serving or optimizing LLM/VLM systems in production.
- Experience with inference optimization techniques such as batching, caching, or quantization.
- Experience building AI/ML systems from early-stage development through production deployment.
- 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 learningsoftware engineeringmultimodal datacomputer visionnatural language processinglarge language modelsvideo language modelsinference optimizationKubernetesproduction deployment
Soft Skills
strong technical decisionshigh degree of ownershipengineering judgment
Certifications
Master’s in Machine LearningPhD in Machine LearningMaster’s in Computer SciencePhD in Computer Science