Twelve Labs

Machine Learning Engineer, 6+ Years Experience

San Francisco, California, United States

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

Requirements

Candidates should have at least 6 years of relevant industry experience and demonstrated experience as a technical lead to deliver projects end to end. Strong expertise in Python and considerable work history with at least one statically typed language, preferably Golang, is required. Experience with modern ML frameworks such as PyTorch or TensorFlow is also necessary.

Responsibilities

The Machine Learning Engineer will advance industry-leading enterprise video solutions by incorporating existing research into fault-tolerant, low-latency end-to-end systems. They will own model deployment, metadata management, and high-throughput inference strategies for retrieval and generative models. The role includes mentoring junior engineers, ensuring high code quality, building impactful libraries and services, and delivering applied research solutions. Additionally, the engineer will work across teams to manage project priorities and drive technical initiatives from ideation to execution.

Skills

Python
Machine Learning
ML Systems
Model Deployment
Inference
Video-Language Modeling
Data Management
Project Management
Technical Leadership
Finetuning
Auto-labeling

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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