Engineering Manager, Machine Learning at Twelve Labs

San Francisco, California, United States

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$225,000 – $325,000Compensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine Learning, TechnologyIndustries

Requirements

4+ years of experience leading ML / ML infra teams, with experience leading a team of six or more
8+ total years of experience in engineering
Demonstrated the ability to hire, mentor, and retain ML engineers
Passion for engineering best practices and the grit to uphold those standards even in the face of deadlines (through code review, culture building, etc.)
Deep experience with ML frameworks (i.e. PyTorch, Tensorflow)
Deep experience with the modern Python services stack, i.e. Python, Postgres, FastAPI, SQLAlchemy, Pydantic (and friends)

Responsibilities

Mentor, support, and uplevel your team of ML/research engineers
Grow your team through excellence in hiring and retention
Own technical execution and strategic planning, adapting to changes in product roadmaps and company priorities
Deliver top-notch applied AI solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and inferencing over petabytes of video

Skills

PyTorch

TensorFlow

Python

Postgres

FastAPI

SQLAlchemy

Pydantic

Machine Learning

ML Infrastructure

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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