Twelve Labs

[KR] ML Research Engineer, 5+ Years Experience

Seoul, South Korea

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine LearningIndustries

Requirements

Candidates must have over 5 years of experience in developing machine learning models and systems. A solid understanding of multimodal models is required, along with a keen interest in solving practical implementation challenges. Strong communication skills to coordinate and engage with various stakeholders are essential.

Responsibilities

The ML Research Engineer will engage in research and engineering to achieve creative outcomes for high-performance video search and video language models. They will collaborate with the research team to design end-to-end optimizations for model performance, including large-scale distributed learning, automated fine-tuning pipelines, and profiling for training and inference.

Skills

Machine Learning
Model Development
System Development
Multimodal Models
Distributed Training
HPC Tools
Problem-Solving
Communication
Collaboration
Video Search
Video Language Models

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.

Key Metrics

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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