Twelve Labs Inc. logo

ML Research Scientist, Pegasus

Job Overview

Location

Seoul, South Korea

Job Type

Full-time

Category

Data Science

Date Posted

April 11, 2026

Full Job Description

đź“‹ Description

  • • As an ML Research Scientist on the Pegasus team at Twelve Labs, you will drive cutting-edge research to advance video understanding capabilities in multimodal foundation models, directly contributing to products that enable human-like comprehension of video content.
  • • You will define and drive research problems, design and run rigorous experiments across model architecture, training strategies, data curation, and evaluation, build evaluation methods and data curation pipelines, collaborate with ML engineers to transition research into production systems, and communicate findings to inform technical direction.
  • • The Pegasus team is at the core of Twelve Labs’ video understanding capabilities, responsible for developing the Pegasus Video Analysis product with a focus on real-world impact, high instruction following, and hierarchically structured outputs, working in a goal-oriented, cross-functional environment with access to advanced hardware like NVIDIA B300s.
  • • You will have the opportunity to push the boundaries of multimodal AI, gain experience in large-scale distributed training and data-centric model development, see your research translate into real product impact, and grow as a researcher in a globally recognized AI company backed by top-tier investors and partners like NVIDIA and AWS.

Skills & Technologies

Python
AWS
PyTorch
Onsite
Degree Required

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Twelve Labs Inc. logo
Twelve Labs Inc.
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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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