Machine Learning Engineer, 2+ Years Experience at Twelve Labs

San Francisco, California, United States

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$170,000 – $280,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

Candidates must have 2+ years of relevant industry experience, strong Python coding skills, and experience with modern ML frameworks like PyTorch or Tensorflow. Excellent problem-solving skills and attention to detail are essential. Experience with a statically typed language (e.g., Golang), building 0-to-1 mission-critical AI/ML applications, optimizing model inference, and working with FFmpeg or similar video processing libraries are considered strong assets.

Responsibilities

The Machine Learning Engineer will drive ML systems and platform engineering efforts across end-to-end research and engineering workflows. This includes scaling training, inference, and evaluation systems, while improving the reliability of model deployments, operations, and versioning. Responsibilities also involve incorporating research into fault-tolerant, low-latency systems, scaling multimodal AI/ML systems for video understanding, and delivering applied research solutions for tasks like VLM finetuning and dataset optimization.

Skills

Python

Machine Learning

Model Deployment

System Engineering

Video-Language Modeling

Fault Tolerance

Low Latency

Data Labeling

Model Optimization

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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