Open-Source Machine Learning Engineer

Hugging Face is seeking an Open-Source Machine Learning Engineer to join their team. In this role, you will work to improve the open-source machine learning ecosystem, primarily focusing on existing open-source libraries such as Transformers, Datasets, or Accelerate. You'll interact with users and contributors of the broad open-source machine learning ecosystem, fostering one of the most active machine learning communities.

Key Responsibilities:

• Improve and maintain open-source machine learning libraries
• Interact with researchers, ML practitioners, and data scientists through GitHub, forums, and Slack
• Contribute to the development of technology for the better
• Help users contribute to and use the tools you build

About Hugging Face: Hugging Face is at the forefront of advancing good Machine Learning and making it more accessible. With over 1 Million+ models and 320K+ stars on GitHub, more than 15,000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly, and NASA.

Why Join Hugging Face:

• Work with some of the smartest people in the industry
• Opportunity for growth and continuous learning
• Flexible working hours and remote options
• Health, dental, and vision benefits for employees and dependents
• Parental leave and flexible paid time off
• Company equity as part of the compensation package
• Support for the ML/AI community

Hugging Face values diversity, equity, and inclusivity, actively working to build a workplace where people feel respected and supported regardless of background. They are an equal opportunity employer and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you're passionate about open-source, making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, Hugging Face encourages you to apply, even if you don't meet every requirement. They're building a diverse team and are interested in where you can make the biggest impact.