[KR] ML/Data Infrastructure Engineer, 5+ Years Experience at Twelve Labs

Seoul, South Korea

Twelve Labs Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

PythonData ProcessingMachine LearningDistributed SystemsNatural Language ProcessingComputer VisionRecommendation SystemsRanking Systems

Questions & Answers

Common questions about this position

What is the work location or arrangement for this role?

The position is hybrid and based in Silicon Valley, USA.

What is the salary for this position?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 5+ years with large-scale distributed data processing or ML infrastructure, 7+ years total software development experience, proficiency in Python, basic ML knowledge, and strong communication skills.

What is the company culture like at TwelveLabs?

TwelveLabs offers an open and inclusive culture and work environment.

What does the application process involve?

The process includes resume screening, 1st round technical interview, coding test, 2nd round technical interview, practical interview, final culture fit interview, and reference check with employment agreement.

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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