Twelve Labs

Software Engineer, Machine Learning

San Francisco, California, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should have at least 6 years of relevant industry experience. They must have designed production services using Python, Postgres, FastAPI, SQLAlchemy, and Pydantic. Demonstrated experience as a technical lead to deliver projects end to end is required, along with exposure to machine learning models in production environments, including deployment, serving, lifecycle management, and monitoring.

Responsibilities

The Software Engineer, Machine Learning will drive ML systems and platform engineering efforts in all facets of end-to-end ML and engineering workflows. They will advance enterprise video solutions by incorporating research into fault-tolerant, low-latency systems and craft performant APIs using modern Python tools. The engineer will build impactful libraries and services, mentor junior engineers and researchers, and uphold high standards around code quality and engineering best practices.

Skills

Python
Postgres
FastAPI
SQLAlchemy
Pydantic
Kubernetes
Distributed Data
ML Model Deployment
ML Model Serving
ML Model Lifecycle Management
ML Model Monitoring
System Design
Technical Leadership

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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