Twelve Labs Inc. logo

Staff ML Research Scientist, Pegasus

Job Overview

Location

Seoul, South Korea

Job Type

Full-time

Category

Machine Learning Engineer

Date Posted

April 11, 2026

Full Job Description

đź“‹ Description

  • • As a Staff ML Research Scientist on the Pegasus team, you will lead high-impact research in multimodal video understanding, shaping the direction of TwelveLabs' core video analysis product by identifying and framing critical research problems in multi-hour temporal understanding, hierarchical output generation, and novel training paradigms.
  • • Your day-to-day will involve designing experiments, improving research rigor, creating evaluation strategies for emerging challenges, driving research into product impact, and communicating findings to align technical strategy across teams.
  • • You will work within a goal-oriented, cross-functional team of ML researchers and engineers focused on shipping real-world products, leveraging cutting-edge infrastructure including NVIDIA B3000 GPUs to accelerate research-to-production cycles.
  • • This role offers the opportunity to advance the state of the art in video AI, influence team research agendas, translate innovations into measurable product gains, and grow as a technical leader in a globally recognized AI company backed by top-tier investors and partners like NVIDIA and AWS.

Skills & Technologies

Python
AWS
PyTorch
Senior
Onsite
Degree Required

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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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