Full-Time

Software Engineer

Data

Posted on 6/27/2024

Twelve Labs

Twelve Labs

51-200 employees

AI system for video content understanding

Enterprise Software
AI & Machine Learning
Education

Senior

H1B Sponsorship Available

San Francisco, CA, USA

Hybrid position in San Francisco.

Category
Backend Engineering
FinTech Engineering
Software Engineering
Required Skills
Python
Go
Requirements
  • 7+ years of industry experience (or 4+ with a PhD in a related technical domain)
  • A PhD, or a Master's degree, in machine learning or a closely related discipline
  • Led teams of 3+ engineers as a technical lead
  • Experience building model-bootstrapped language or vision-language datasets (RLAIF, etc.)
  • Managed data acquisition for large generative or contrastive models
  • Experience with FFmpeg or other high performance image/video processing libraries (bonus points for past work with such processing on GPUs/accelerators)
  • Deep experience as a backend and/or data engineer & an interest in ML/AI systems
  • Strong Python expertise and considerable prior work history with at least one statically typed language (we use Golang)
  • Strong communication skills in written and spoken English
Responsibilities
  • Acquire, filter, label (leveraging techniques like RLAIF), and sanitize large-scale vision-language datasets for LLM/VLM pretraining
  • Scale our data systems to enable our evolution from double-digit to triple-digit billion parameter models (and beyond!)
  • Mentor junior engineers/researchers, and hold a high bar around code quality / engineering best practices
  • Establish strong relationships with 3rd party data vendors and human-in-the-loop data labeling services
  • Build the highest impact, not the flashiest, libraries and services
  • Lead by example in interviewing, hiring, and onboarding passionate and empathetic engineers
  • Work across teams to understand and manage project priorities and product deliverables, evaluate trade-offs, and drive technical initiatives from ideation to execution to shipment

Twelve Labs specializes in artificial intelligence and video understanding. The company has created a system that can analyze videos to identify key features such as actions, objects, text, speech, and people. This information is converted into vector representations, allowing for quick and efficient semantic search within large video datasets. Developers and product managers are the primary users of Twelve Labs' technology, which can enhance various applications, such as enabling students to search educational content more effectively. Twelve Labs provides an end-to-end infrastructure through an API, making it easy for clients to integrate their technology into existing systems. The company stands out from competitors by offering a platform that is faster and more effective than many open-source and commercial alternatives. The goal of Twelve Labs is to make all videos searchable, improving accessibility and usability for businesses across different sectors.

Company Stage

Seed

Total Funding

$104.2M

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

19%

1 year growth

86%

2 year growth

321%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing interest in multimodal AI models boosts demand for Twelve Labs' technology.
  • Strategic partnerships with Databricks and Snowflake enhance video processing solutions.
  • Increased use of AI in education technology expands Twelve Labs' client base.

What critics are saying

  • Emerging AI startups in video understanding increase competition for Twelve Labs.
  • Rapid AI advancements may lead to higher operational costs for Twelve Labs.
  • Dependence on key partnerships poses risks if collaborations don't meet expectations.

What makes Twelve Labs unique

  • 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 outperforms strong open-source and commercial models in video analysis.

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