
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 Senior ML Research Engineer on the Marengo team at Twelve Labs Inc., you will drive the research and development of multimodal embedding models that power video understanding AI used by global clients including major sports leagues, broadcast networks, and security operations centers.
- • You will design and execute experiments to improve model quality across architecture, training methodology, data composition, and evaluation; build and optimize large-scale distributed training pipelines; develop data curation and quality assessment systems at scale; conduct ablation studies; implement rigorous evaluation frameworks; and collaborate with search/serving teams to ensure model improvements translate to real-world retrieval gains.
- • Twelve Labs is a Deep Tech startup with offices in San Francisco and Seoul, recognized for four consecutive years in the CB Insights AI 100, backed by over $110M from top-tier investors including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake, and the only Korean-developed AI model available via Amazon Bedrock.
- • You will work in a fast-paced, research-driven environment where the gap between innovation and production is minimal, enabling your contributions to impact thousands of global users within months, while growing alongside a team that values intellectual honesty, resilience, continuous learning, and collaborative problem-solving.
Skills & Technologies
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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