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Staff ML Research Engineer, Multimodal Structure & Marengo

TwelveLabs· Tech
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Hybrid (Seoul, South Korea)Full-timePosted 1mo ago

About the role

Staff ML Research Engineer working across multimodal structure and embeddings to set technical direction and own end-to-end development of TwelveLabs' next-generation models.

Responsibilities

  • Set the technical direction for multimodal structure, including how assets are organized into reusable, addressable units and how those units relate.
  • Define the architecture, training, and data strategy for next-generation multimodal embedding models.
  • Own end-to-end model development from research planning through large-scale distributed training to production evaluation.
  • Architect and optimize large-scale training infrastructure, including distributed training pipelines, data processing systems, experiment workflows, and GPU utilization.
  • Own production model APIs end to end, from model packaging and API design to inference optimization and reliable operation at scale.
  • Drive data strategy by building large-scale curation, filtering, and quality systems for both structure and embeddings.
  • Define evaluation methods and quality standards for structure, embeddings, and end-to-end multimodal understanding and retrieval.
  • Define the interface between structure and semantics, ensuring that structured units remain reusable and addressable while improving end-to-end understanding and retrieval.
  • Drive cross-functional alignment with Agent, Search, Product, and Infrastructure teams on model integration and performance requirements.
  • Raise the research engineering bar through design review, experiment review, and technical mentorship.

Qualifications

  • 7+ years of industry experience in computer vision, video understanding, or multimodal learning.
  • Demonstrated ability to take ambiguous, loosely-defined research problems and drive them to concrete, impactful solutions, from problem identification through delivery.
  • Strong judgment under changing constraints: adapt as requirements evolve, make principled tradeoffs, and deliver the strongest result within the time/resources.
  • Deep expertise in large-scale distributed model training (kernel optimization, FSDP, or similar).
  • Experience building and operating production model APIs for large-scale ML systems.
  • Deep expertise in video understanding, multimodal representation learning, or foundation model development.
  • Experience building end-to-end systems that connect multimodal structure with embeddings and retrieval.
  • Proven end-to-end ownership: defining, building, deploying, and iterating in production.
  • Strong proficiency in Python and PyTorch.
  • Evidence of both research depth and engineering impact: publications paired with shipped products.

Skills

Required:PythonPyTorch

Benefits

  • Growth & Tools: 글로벌 B2B 고객과 함께 성장하는 Global Team
  • 자율성과 협업을 모두 갖춘 하이브리드 근무
  • 최신 맥북 및 70만 원 상당 재택근무 장비 지원, 3년 주기로 최신 장비 교체
  • Tech 직군이 AI를 효율적이고 책임 있게 활용할 수 있도록 LLM 토큰 무제한 지원
  • 자기개발비 연 140만원 상당 지원(강의, 컨퍼런스, 멤 Membership 등)
  • 영어 교육 프로그램 및 글로벌 버디 프로그램 운영
  • 야간 및 주말 출퇴근 택시비 지원
  • Meal & Snack: 연 720만원 상당 법인카드 제공, 스낵바, 저녁 식대 일부 제공
  • Wellness & Family: 건강검진 제공, 단체보험 선택, 독감 예방접종비 지원, 연말 2주 Holiday Break
Last updated Oct 15, 2026. Interested? Apply on the company site.

About TwelveLabs

Video Intelligence Platform & API

TwelveLabs delivers enterprise video AI powered by multimodal intelligence. Search, analyze, and understand video across vision, audio, and language.

video AImultimodal intelligencesearchanalyzeunderstand video
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