[Remote] Applied AI Engineer, Field Engineering at Twelve Labs

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

AIMachine LearningVideo UnderstandingMultimodal AIFoundation ModelsPrototypingIntegrationOptimizationApplication DevelopmentWorkflow DevelopmentPythonDeep Learning

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What salary or compensation does this role offer?

This information is not specified in the job description.

What experience and skills are required for this Applied AI Engineer role?

Candidates need 5+ years in software engineering, machine learning engineering, applied machine learning, or related fields focused on production workloads, deep familiarity with data science fundamentals, working knowledge of linear algebra and its application to embeddings, and the ability to analyze customer data, design experiments, and interpret results.

What is the company culture like at Twelve Labs?

Twelve Labs is a global company that values the uniqueness of each person’s journey and the differences in cultural, educational, and life experiences that challenge the status quo. They seek individuals motivated by the mission to push the bounds of technology.

What makes a strong candidate for this role?

A strong candidate has 5+ years of hands-on experience in software or machine learning engineering with a focus on production workloads, strong data science fundamentals including linear algebra for embeddings, and the ability to design experiments and collaborate with Science, Product, and Engineering teams.

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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