Software Engineer, Machine Learning at Twelve Labs

Seoul, South Korea

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

Requirements

Experience designing and operating production services using Python, Postgres, FastAPI, SQLAlchemy, Pydantic, etc
6+ years of experience in related fields
Experience leading teams as a Technical Lead and driving projects
Experience deploying, serving, and monitoring machine learning models in production environments
Preferred Qualifications
Experience scaling petabyte (PB)+ scale data/ML systems or data infrastructure
Experience building Kubernetes-based distributed ML/data workflow systems

Responsibilities

Implement state-of-the-art research into fault-tolerant, low-latency systems to advance enterprise video AI solutions
Design and implement high-performance APIs using modern Python tools
Design and build libraries and services that create real impact, not just flashy features
Mentor junior engineers and maintain high standards for code quality and engineering best practices

Skills

Key technologies and capabilities for this role

PythonPostgresFastAPISQLAlchemyPydanticKubernetesMachine LearningML DeploymentDistributed Systems

Questions & Answers

Common questions about this position

What is the salary for this Software Engineer, Machine Learning position?

This information is not specified in the job description.

Is this a remote or hybrid role, and where is the office located?

The position is hybrid, with offices in San Francisco and Seoul.

What skills and experience are required for this role?

Required experience includes 6+ years in related fields, designing/operating production services with Python, Postgres, FastAPI, SQLAlchemy, Pydantic, technical lead experience leading teams/projects, and deploying/serving/monitoring ML models in production.

What are the company's core values and work culture like?

The company emphasizes honesty and reflection towards self and team, perseverance and humility without fearing failure and feedback, continuous learning to elevate team capabilities together, and enjoying the process of solving challenging problems and growing together.

What benefits are offered for this position?

Benefits include hybrid work with autonomy and collaboration, MacBook and 700,000 KRW home office equipment support with replacement every 3 years, monthly 600,000 KRW corporate card for meals/transport, office snack bar, 2-week year-end winter break, annual health checkup, and English education program.

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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