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Twelve Labs Inc. logo

Senior 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

📋 Description

  • As a Senior ML Research Scientist on the Pegasus team at Twelve Labs, you will drive cutting-edge research in multimodal foundation models that enable human-like video understanding, directly contributing to the company’s mission of transforming how we interact with and analyze media through advanced AI.
  • Your day-to-day will involve designing and executing rigorous experiments on complex challenges such as temporal segmentation, multi-hour context modeling, structured output generation, and training strategies from pre-training through reinforcement learning, while collaborating closely with ML engineers to translate research into production-ready systems.
  • You will join a globally distributed, goal-oriented team headquartered in San Francisco with a strong APAC presence in Seoul, backed by over $110 million in funding from top-tier investors including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and supported by access to advanced hardware like NVIDIA B300s.
  • In this role, you will deepen your expertise in multimodal LLMs, large-scale distributed training, and AI-assisted development tools, while strengthening your ability to communicate research findings, shape technical direction, and mentor peers through collaborative problem-solving and hypothesis refinement.

Skills & Technologies

Python
AWS
PyTorch
Senior
Onsite
Degree Required

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Twelve Labs Inc. logo
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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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