Job Overview
Location
Seoul, South Korea
Job Type
Full-time
Category
Data Science
Date Posted
July 21, 2026
Full Job Description
📋 Description
- • As a Senior ML Research Scientist, you will lead research at the intersection of spatiotemporal modeling and multimodal representation learning.
- • You will define open-ended research problems, validate ideas through rigorous large-scale experiments, and turn promising results into production capabilities.
- • This role is ideal for a hands-on researcher with deep expertise in at least one of these areas and a strong interest in connecting them.
- • You will 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.
- • Even if you don't check every box, we encourage you to apply.
- • If you're a zero-to-one achiever, a ferocious learner, and a kind team player who motivates others, you'll find a home at TwelveLabs.
- • You may be a good fit if you have 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.
- • We evaluate based on relevant technical skills and sustained industry impact.
- • This role is typically a strong fit for engineers with an MS and deep industry experience who have evolved from individual contributor to technical leader in production ML environments.
- • Preferred qualifications include experience with open-vocabulary vision or dense and region-level representations.
- • Experience with large-scale video training, data curation, or evaluation infrastructure.
- • Experience translating research into production.
- • Experience leading research projects or mentoring researchers.
- • This is an opportunity to define how a foundation model understands the same video across multiple levels of granularity, not simply improve a single task-specific benchmark.
- • Work Location: Seoul Itaewon office + Pangyo satellite office
🏖️ 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
- • 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
- • Meal & Snack
- • 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
- • Wellness & Family
- • 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Twelve Labs Inc.
Twelve Labs builds multimodal video understanding AI. Its cloud platform transforms long-form video into vector embeddings that capture visual, audio, speech and contextual information, enabling semantic search, summarization, chaptering, moderation and analytics through a single API. Developers upload video, index it, then query in natural language or image to retrieve exact moments, generate highlights or detect unwanted content. Models are pretrained on large-scale web video, continually fine-tuned for accuracy and latency, and deployable on dedicated GPU clusters for enterprise security. Founded in 2021, the San Francisco company serves media, ed-tech, safety and e-commerce customers worldwide.
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