Full-Time

Senior Node.js Software Engineer

ML Platform

Updated on 1/29/2025

Hugging Face

Hugging Face

201-500 employees

Develops advanced AI and NLP models

Enterprise Software
AI & Machine Learning

Senior

Remote in USA

Remote employees have the opportunity to visit offices in NYC and Paris.

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Node.js
Machine Learning
TypeScript
AWS
MongoDB

You match the following Hugging Face's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Experience working in a fast-paced environment
  • Ability to pick up new frameworks quickly
  • Willingness to work across the stack from backend to frontend (Typescript, Node.js, Svelte, MongoDB, AWS)
  • Comfortable working in an ambiguous environment
  • Experience building products that users rely on
  • High sense of technical and product ownership
Responsibilities
  • Building essential tooling required to interact with the Machine Learning Hub
  • Working collaboratively with a supportive team of engineers
  • Owning features end-to-end
Desired Qualifications
  • Enthusiastic about working on technical challenges for ML-focused products
  • Excited to be a builder for builders
  • Great product sense
  • Enjoy understanding technical domains deeply

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.

Company Stage

Series D

Total Funding

$384.9M

Headquarters

New York City, New York

Founded

2016

Growth & Insights
Headcount

6 month growth

0%

1 year growth

1%

2 year growth

-2%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing interest in open-source AI models boosts Hugging Face's platform engagement.
  • Hugging Face's support for diverse AI applications expands its potential user base.
  • The trend towards cost-effective AI models aligns with Hugging Face's offerings.

What critics are saying

  • DeepSeek's open-source models outperform some leading AI systems, increasing competition.
  • Alibaba's Qwen2.5-Max model intensifies competition, challenging Hugging Face's market position.
  • OpenAI's o3-mini model may attract users away from Hugging Face's offerings.

What makes Hugging Face unique

  • Hugging Face offers state-of-the-art NLP models like GPT-2 and XLNet.
  • The company provides a freemium model with advanced features available via subscription.
  • Hugging Face supports open-source AI, aligning with democratizing AI access.

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Benefits

Flexible Work Environment

Health Insurance

Unlimited PTO

Equity

Growth, Training, & Conferences

Generous Parental Leave