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Twelve LabsTL

Staff Machine Learning Engineer - TrainingOps

Twelve Labs is an innovative AI startup transforming video understanding through powerful multimodal APIs.

Twelve Labs

Employee count: 51-200

South Korea only

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TwelveLabs is pioneering the development of cutting-edge multimodal foundation models that can comprehend videos like humans. We are seeking a Staff Machine Learning Engineer to drive technical direction for training infrastructure and training operations within our Pegasus team.

Requirements

  • Significant experience building and productionizing large-scale ML systems as a hands-on individual contributor
  • Experience driving technical direction across complex ML infrastructure or training systems projects
  • Strong experience with large-scale distributed training systems, training infrastructure, or large-scale data processing pipelines

Benefits

  • Global B2B customers
  • Autonomy and collaboration in a hybrid work environment
  • MacBook and remote work equipment subsidy
  • Monthly corporate card with a 6 million KRW limit for meal and transportation expenses
  • On-site snack bar with snacks, coffee, and fresh produce
  • Annual winter break of 2 weeks
  • Annual health check-up support
  • English education program support

About the job

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Posted on

Job type

Full Time

Experience level

Location requirements

Hiring timezones

South Korea +/- 0 hours

About Twelve Labs

Learn more about Twelve Labs and their company culture.

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Twelve Labs is a pioneering company focused on developing multimodal artificial intelligence that enables machines to analyze and understand video content in a way that mimics human perception. Founded in 2020, Twelve Labs aims to bridge the gap between traditional AI systems and human-like video comprehension by leveraging cutting-edge technology to create models that learn rich, multimodal representations from video data. This innovative approach not only enhances video search capabilities but also allows for more meaningful interactions with video content across various applications.

Our flagship products include advanced video APIs, which help developers integrate sophisticated video understanding into their applications. The state-of-the-art Marengo model allows for precise scene search, while Pegasus, our video-language model, empowers users to generate textual descriptions and perform complex queries about video content. We believe this technology can redefine how users interact with video, making it easier for them to sift through and derive insights from large amounts of information. Our team, composed of experts in AI and machine learning, is dedicated to pushing the boundaries of what is possible with video understanding, transforming industries ranging from entertainment to security and education.

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Twelve Labs

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