Senior Node.Js Backend Engineer, Online Payment Systems - EMEA Remote at Hugging Face

Paris, Île-de-France, France

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine Learning, TechnologyIndustries

Requirements

Experience with Typescript, Node.js, and MongoDB
Good understanding of low-level systems programming (e.g., through C, Go, or Rust)
Experience working collaboratively across the stack on Online payment systems
Ability to work in a fast-paced environment

Responsibilities

Contribute to the evolutions of the Machine Learning Hub platform
Work with a team of engineers on hosting and running ML models
Test implementations with a high degree of autonomy

Skills

Key technologies and capabilities for this role

Node.jsTypeScriptMongoDBGoRustCOnline Payment Systems

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position for EMEA, with flexible working hours and remote options available. All remote employees can visit offices in NYC and Paris if desired.

What are the required skills for this role?

The role requires a favorite tech stack of Typescript, Node.js, and MongoDB, experience with low-level systems programming (e.g., C, Go, or Rust), and collaborative work on online payment systems. A fast-paced environment experience is also needed.

What benefits does Hugging Face offer?

Benefits include health, dental, and vision coverage for employees and dependents, 12 weeks of parental leave (20 for birthing mothers), unlimited paid time off, conference/training reimbursement, workstation setup, and company equity.

What is the company culture like at Hugging Face?

Hugging Face builds a culture valuing diversity, equity, and inclusivity where people feel respected and supported. They emphasize working with smart people, bias for impact, continuous growth, and employee well-being.

What makes a strong candidate for this Senior Node.js Backend Engineer role?

Strong candidates love Typescript, Node.js, and MongoDB, have low-level systems programming experience (C, Go, Rust), and expertise in online payment systems, while thriving in fast-paced, autonomous environments with collaborative teams.

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.

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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