Hugging Face

Senior Frontend Engineer - EMEA remote

Paris, Île-de-France, France

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Open Source Software, AI & Machine LearningIndustries

Requirements

Candidates should possess a Bachelor's degree in a relevant field and at least a few years of professional experience as a frontend engineer, with a strong understanding of TypeScript and a JavaScript framework such as React or Svelte. Familiarity with core web APIs, including canvas and audio, is preferred, along with experience working with Python.

Responsibilities

As a Senior Frontend Engineer, you will build complex UI components to empower users to develop AI applications, respond quickly to user needs, maintain an open-source library, nurture an open-source community, and collaborate daily with researchers, ML practitioners, data scientists, and software engineers through various platforms. You will also contribute to the continuous improvement of the platform and its tools, ensuring a positive user experience.

Skills

TypeScript
React
Svelte
Web APIs
Canvas
Audio
UI Components
Open Source
Community Engagement
Collaboration

Hugging Face

Develops advanced NLP models for text tasks

About Hugging Face

Hugging Face develops machine learning models focused on understanding and generating human-like text. Their main products include advanced natural language processing (NLP) models like GPT-2 and XLNet, which can perform tasks such as text completion, translation, and summarization. Users can access these models through a web application and a repository, making it easy to integrate AI into various applications. Unlike many competitors, Hugging Face offers a freemium model, allowing users to access basic features for free while providing subscription plans for advanced functionalities. The company also tailors solutions for large organizations, including custom model training. Hugging Face aims to empower researchers, developers, and enterprises to utilize machine learning for text-related tasks.

Key Metrics

New York City, New YorkHeadquarters
2016Year Founded
$384.9MTotal Funding
SERIES_DCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees

Benefits

Flexible Work Environment
Health Insurance
Unlimited PTO
Equity
Growth, Training, & Conferences
Generous Parental Leave

Risks

Salesforce's exclusive partnerships may limit Hugging Face's access to training datasets.
Microsoft's rStar-Math technique could outperform Hugging Face's NLP models in specific tasks.
DeepSeek-V3's release may intensify competition in the ultra-large model space.

Differentiation

Hugging Face offers a massive library of over one million AI models.
The company provides a thriving online community for open-source AI collaboration.
Hugging Face's freemium model allows easy access to advanced NLP tools.

Upsides

Collaboration with Microsoft could enhance small model performance in mathematical reasoning.
Partnership with DeepSeek may boost Hugging Face's ultra-large model capabilities.
Integration with Salesforce's ProVision could improve multimodal AI capabilities.

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