Developer Relations Engineer
Demandbase93,000 - 139,000 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Open Source Software, Machine Learning PlatformsIndustries
Requirements
Candidates should possess an exceptional ability to create clear, engaging, and technically accurate content (written, code, video) that resonates with developers, along with a strong understanding of developers' needs, pain points, and learning processes. A generalist engineering background and empathy for developers are required, as is enthusiasm for ML-focused products and a developer-first, growth-oriented mindset. Experience in adoption, accessibility, and awareness advocacy is also desired.
Responsibilities
As a Developer Advocate Engineer, you will primarily focus on creating technical content such as documentation, blog posts, tutorials, articles, and engaging videos and presentations for conferences and webinars, with the goal of educating, inspiring, and converting potential users into active adopters of the Hugging Face Hub and its Enterprise solutions. You will design and develop compelling demos and prototypes to showcase the Hub's capabilities, and proactively engage with the developer ecosystem to build awareness, drive new user acquisition, and cultivate relationships. Additionally, you will monitor and interpret changes in the market and contribute to the overall product strategy.
Skills
Technical Content Creation
Documentation
Blog Writing
Tutorial Development
Video Production
Presentation Skills
Demo Design
Prototype Development
Community Engagement
Ecosystem Building
Model Deployment
Inference Providers
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