Senior Software Engineer, Backend (Korea)

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Job Description: Senior Product Backend Engineer

Position Overview

Company: Twelve Labs
Location Type: Hybrid
Employment Type: Full-Time
Salary: Not specified

About Twelve Labs

Twelve Labs is pioneering the development of cutting-edge multimodal foundation models that can comprehend videos just like humans. They are backed by significant funding from top-tier venture capital firms and prominent AI visionaries. Headquartered in San Francisco with an APAC presence in Seoul, they are committed to driving worldwide innovation in video understanding and multimodal AI.

Who We Are

A global company valuing diversity and unique experiences.
Mission-driven, focused on revolutionizing video understanding and transforming the world.

As a Senior Product Backend Engineer, you will:

Design and implement scalable RESTful APIs adhering to OpenAPI specifications, powering features like video search, generation, and embedding, integrated with model inference pipelines.
Architect high-throughput, service-oriented backend systems to support enterprise-grade SaaS solutions for diverse customers, leveraging cloud-native tools (e.g., AWS, GCP, Azure).
Optimize performance and reliability of distributed systems, processing large-scale video data with low latency and high availability.
Collaborate with cross-functional teams (product managers, frontend engineers, AI/ML teams) to deliver end-to-end video solutions.
Apply video-specific technologies (e.g., encoding, transcoding, streaming, metadata extraction) to enhance product capabilities and meet strategic goals.

Requirements

Experience: 5+ years of backend engineering experience.
API Expertise: Advanced proficiency in designing and implementing RESTful APIs, adhering to OpenAPI/Swagger specifications. Experience with modern frameworks (e.g., Go’s Gin or Echo, Spring Boot, or similar).
Technical Expertise: Deep expertise in service-oriented architecture (SOA), microservices, and distributed systems. Strong knowledge of scalable database design (e.g., relational, NoSQL).

Responsibilities

Design and implement scalable RESTful APIs.
Architect high-throughput, service-oriented backend systems.
Optimize performance and reliability of distributed systems.
Collaborate with cross-functional teams.
Apply video-specific technologies.

Application Instructions

Not specified. (Further information regarding application process would be beneficial.)

Skills

RESTful APIs

OpenAPI

Swagger

Go (Gin or Echo)

Spring Boot

Service-oriented architecture (SOA)

Microservices

Distributed systems

AWS

GCP

Azure

Video encoding

Video transcoding

Video streaming

Metadata extraction

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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Senior Software Engineer, Backend (Korea)