ML Research Scientist at Twelve Labs

Seoul, South Korea

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

Video UnderstandingMultimodal Language ModelingVision + XOpen-domain QAGenerative ModelsVideo Representation LearningAction RecognitionMultimodal AILarge-scale model trainingModel accelerationEnglish writingCommunication skills

Questions & Answers

Common questions about this position

What is the salary for the ML Research Scientist position?

This information is not specified in the job description.

Is this a remote or hybrid role?

This is a hybrid position with meal support and a coworking stipend.

What skills and experience are required for this role?

Candidates need a PhD in a related field or Master’s with 3+ years industry experience, research background in areas like video understanding, multimodal language modeling, and vision + X, ability to lead projects independently, experience with large-scale ML products and model training, plus publications in top AI conferences.

What is the company culture like at Twelve Labs?

The company offers an open and inclusive culture and work environment, working closely with a collaborative, mission-driven team on cutting-edge AI technology.

What makes a strong candidate for this ML Research Scientist role?

Strong candidates have a PhD or equivalent experience, proven research in video/multimodal AI with top-tier publications, competition rankings, experience leading projects and building commercial ML products, plus excellent communication skills.

Twelve Labs

AI system for video content understanding

About Twelve Labs

Twelve Labs focuses on artificial intelligence and video understanding by developing a system that analyzes videos to extract key features like actions, objects, and speech. This information is transformed into vector representations, enabling fast semantic search within large video datasets. The company differentiates itself by providing a platform that is faster and more effective than many existing models, allowing developers and product managers to easily integrate its technology through an API. Twelve Labs aims to make all videos searchable, enhancing the way businesses utilize video content.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$104.2MTotal Funding

EARLY_VCCompany Stage

Enterprise Software, AI & Machine Learning, EducationIndustries

51-200Employees

Risks

Increased competition from emerging AI startups in video understanding.

Rapid AI advancements require continuous innovation, straining resources.

Potential over-reliance on key investors like SK Telecom and Databricks.

Differentiation

Twelve Labs offers a comprehensive AI system for multimodal video understanding.

Their technology transforms video content into vector representations for fast semantic search.

The platform's API allows easy integration into clients' systems with minimal effort.

Upsides

Growing demand for AI-driven video analytics in education, healthcare, and security sectors.

Recent $30 million funding enhances technology development and strategic partnerships.

Collaboration with cloud providers boosts scalability and efficiency of video processing.

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