Twelve Labs Inc. logo

Engineering Manager, ML Research Engineer, Marengo

Job Overview

Location

Seoul, South Korea

Job Type

Full-time

Category

Engineering

Date Posted

April 11, 2026

Full Job Description

đź“‹ Description

  • • As an ML Research Engineering Manager on the Marengo team, you will build and lead the research engineering group responsible for TwelveLabs' multimodal embedding models, owning both the team's technical roadmap and the growth of the engineers on it.
  • • Manage and develop a team of ML research engineers: hire, onboard, run 1:1s, drive career growth, and build a high-performance engineering culture; own the team's technical roadmap and execution plan, aligning research priorities with product and business goals; define team structure, hiring plans, and resourcing across next-generation model development and training operations.
  • • Twelve Labs is a Deep Tech startup with offices in San Francisco and Seoul, recognized for 4 consecutive years in CB Insights' Top 100 AI Startups, having raised over $110M from top-tier investors including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake; the company builds world-leading video-specific AI models for search, analysis, summarization, and insight generation used by major sports leagues, broadcast studios, and global control centers.
  • • You will drive hiring, ensure research quality through design and experiment reviews, coordinate cross-functionally with Product, Search, and Infrastructure teams, remove blockers, and keep execution focused on high-impact work while staying technically engaged to make sound architectural decisions and evaluate research direction in a fast-paced, startup environment where research moves quickly to production.

Skills & Technologies

Python
PyTorch
Onsite

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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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