Machine Learning Engineer, 6+ Years Experience at Twelve Labs

San Francisco, California, United States

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$225,000 – $325,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Skills

Key technologies and capabilities for this role

Machine LearningModel DeploymentInferenceSystem EngineeringVideo-Language ModelingSoftware EngineeringMentoringCode QualityEngineering Best Practices

Questions & Answers

Common questions about this position

What is the salary range for this Machine Learning Engineer position?

The salary range is $225K - $325K.

Is this role remote or hybrid, and where is it located?

The position is hybrid and headquartered in San Francisco, with an APAC presence in Seoul.

What skills are required for this Machine Learning Engineer role?

Candidates need 6+ years of relevant industry experience, strong Python expertise with experience in at least one statically typed language like Golang, and proficiency with modern ML frameworks such as PyTorch or Tensorflow. Demonstrated experience as a technical lead delivering projects end-to-end is also required.

What does Twelve Labs do, and what is the work environment like?

Twelve Labs pioneers multimodal foundation models for video-language understanding, with a global footprint in San Francisco and Seoul, backed by top VCs and advisors. The role involves advancing ML systems, mentoring juniors, and collaborating across teams in a high-impact engineering environment.

What makes a strong candidate for this Machine Learning Engineer position?

Strong candidates have 6+ years experience, technical leadership in end-to-end projects, Python and Golang expertise, ML framework proficiency, plus experience scaling ML systems to petabyte scale, building AI/ML apps from scratch, optimizing inference, or Kubernetes systems.

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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