Hugging Face

HQ
New York
Total Offices: 11
175 Total Employees
Year Founded: 2017

Hugging Face Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers occupational accident insurance

Offers company equity

Offers dental insurance

Offers vision insurance

Offers health insurance

Provides family medical leave

Offers generous parental leave

Career Growth + Development

Provides customized development tracks

Company Culture

Utilizes a flexible work schedule

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Offers unpaid extended leave

Provides paid holidays

Provides bereavement leave

Offers gym membership

Recently posted jobs

Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Generative AI
Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Generative AI
Design, develop, and maintain Python libraries and frameworks for machine learning developers. Architect scalable developer tools, shape APIs, grow early-stage open-source projects, create demos and documentation, and drive community adoption. Work on real-time audio/video streaming, networking, frontend integrations, and open-source collaboration through code reviews, discussions, and support.
25 Days AgoSaved
In-Office or Remote
Paris, Île-de-France, FRA
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Generative AI
Own Hugging Face’s open-source speech-to-speech library and build hf-voice into a production voice-agent platform. Responsibilities include architecture, realtime inference, ASR/TTS/model integration, streaming APIs, WebSockets/WebRTC, GPU serving, concurrency, autoscaling, observability, reliability, load testing, documentation, community contributions, and deployment support. The role requires substantial Python open-source experience, realtime systems expertise, production LLM or multimodal model experience, and interest in conversational AI.