Senior ML Research Scientist, Perception Models

Twelve Labs

Leading research at the intersection of spatiotemporal modeling and multimodal representation learning for TwelveLabs. Developing models that enhance understanding of video across various granularity levels.

Posted 7/20/2026full-timeSeoul • 🇰🇷 South KoreaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in computer vision and multimodal learning, with a strong focus on developing and evaluating models that integrate temporal and spatial structures. Proven ability to design large-scale experiments and collaborate effectively across research and engineering teams.

Highest-signal resume keywords

Computer VisionMultimodal LearningPython ProgrammingPyTorch FrameworkVideo Foundation Models

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Hard Skills

Video UnderstandingSelf-Supervised LearningContrastive LearningEmbeddingsRetrievalTemporal ModelingObject-Centric LearningDetectionSegmentationTracking

Soft Skills

CollaborationProblem Ownership

Industry Keywords

Research Track RecordRigorous ExperimentsLarge-Scale ExperimentsResearch ImpactPublications

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Research multimodal representations that connect temporal and spatial structure with semantic understanding.
Develop models that operate across multiple levels of granularity, from full videos and clips to regions and entities.
Design training objectives, datasets, evaluation methods, and large-scale experiments.
Use task-specific vision models as supervision or components, and integrate useful signals into general-purpose representations.
Partner with research and engineering teams to scale and ship new capabilities.

Requirements

What you’ll need

A strong research track record in computer vision, video understanding, multimodal learning, or a related field.
Deep expertise in at least one of the following: video foundation models, self-supervised or contrastive learning, embeddings, and retrieval; or temporal modeling, object-centric learning, detection, segmentation, and tracking.
Strong hands-on skills in Python and PyTorch or an equivalent deep learning framework.
Proven ability to design and run rigorous experiments at scale.
Research impact through publications, production systems, or both.
The ability to own ambiguous problems and collaborate across research and engineering.

Benefits

Comp & perks

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
Tokens never sleep - Tech 직군 LLM 토큰 무제한 지원
강의, 컨퍼런스, 멤버십 등에 사용 가능한 연 140만원 상당 자기개발비 지원
영어 교육 프로그램 및 글로벌 버디 프로그램 운영
야간 및 주말 출퇴근 택시비 지원
식비·교통비 등 자유롭게 사용할 수 있는 연 720만원 상당 법인카드 제공
사무실 내 스낵바 운영 (간식, 커피, 제철 과일 등)
사무실 근무 시, 오후 7시 이후 저녁 식대 제공
연 1회 본인 및 가족 1인의 건강검진 제공
단체보험 가입 (상해보험/치아보험/가족 상해보험 중 택 1)
독감 예방접종비 지원
연말 2주간 유급 Holiday Break 운영