Full-Time

Post-Sales Machine Learning Solutions Engineer

Confirmed live in the last 24 hours

Hugging Face

Hugging Face

201-500 employees

Develops advanced NLP models for text tasks

Enterprise Software
AI & Machine Learning

Mid, Senior

Remote in USA

Category
Natural Language Processing (NLP)
AI & Machine Learning
Solution Engineering
Sales & Solution Engineering
Required Skills
Natural Language Processing (NLP)
Requirements
  • Experience building NLP/Vision solutions. We need people to hit the ground running and this position is not intended to train someone in the fundamentals of ML. You should understand the ML Lifecycle and basics of cloud infrastructure.
  • Experience with the transformers library. Our customers come to us for our experience with transformers. We expect you to already have good proficiency with transformers and you will quickly become an expert.
  • Self-starter: We need people that can tackle hard problems independently. While there are plenty of gracious smart people that are eager to collaborate within Hugging Face, we are looking for people who are scrappy, self-motivated, and resourceful.
  • Attention to detail: Will you write a meaningful paragraph for why you want to work at Hugging Face that touches upon what we are looking for?
  • Customer relationship builder: We want people who are excited to build relationships with customers and help them succeed. This isn’t a role for a heads-down coder. You will be collaborating and providing value to our customer’s ML teams.
  • Great communicator: Can you explain how you solved a problem to someone that isn’t technical? This role involves talking to a variety of roles from C-level executives, to domain experts, and IT professionals.
  • Coding: You should be comfortable writing code scripts and notebooks on transformers/ML Ops use cases that will be reused by the customers.
  • Learn quickly: The field and company are both moving very fast: new breakthroughs in the AI/ML space come out practically every week, and Hugging Face is constantly adding new packages to the open-source community, contributing to open-science, and building more enterprise products. We want someone that enjoys learning about state-of-the-art developments and sharing them with customers.
Responsibilities
  • Empathize with our customers to understand their issues and goals when using transformers (NLP and Vision primarily).
  • Have the scrappiness and be excited to solve customer problems through research, coding up a solution, or talking to our many in-house experts.
  • Build meaningful relationships with our customers and understand their goals.
  • Comfortably explain complex concepts to both technical and non-technical audiences.
  • Constantly be learning and sharing your knowledge with our customers.

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

1%

1 year growth

2%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • 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.

What critics are saying

  • 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.

What makes Hugging Face unique

  • 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.

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Benefits

Flexible Work Environment

Health Insurance

Unlimited PTO

Equity

Growth, Training, & Conferences

Generous Parental Leave