About the Role
- At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 2M models, 700k datasets & 600k apps. Our open-source libraries have more than 600k+ stars on Github.
- As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem. You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful.
- You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners and data scientists on a daily basis through GitHub, our forums, or slack.
- If you love open-source, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application!
Responsibilities
- Improve the open-source machine learning ecosystem.
- Work with existing open-source libraries (e.g., Transformers, Datasets, Accelerate).
- Interact with users and contributors of the broad open-source machine learning ecosystem.
- Foster one of the most active machine learning communities.
- Help users contribute to and use the tools built.
- Interact with Researchers, ML practitioners, and data scientists through GitHub, forums, or Slack.
Requirements
- Love open-source.
- Passionate about making complex technology more accessible.
- Want to contribute to one of the fastest-growing ML ecosystems.
- Provide a cover letter mentioning why you would like to work in open-source at Hugging Face, including your skills, potential expertise, and topics on which you would like to work.
Benefits
- Flexible Work Environment
- Flexible working hours
- Remote options
- Health Insurance (health, dental, and vision benefits for employees and their dependents)
- Unlimited PTO (flexible paid time off)
- Equity (company equity as part of their compensation package)
- Growth, Training, & Conferences (reimbursement for relevant conferences, training, and education)
- Generous Parental Leave (parental leave)
- Workstation outfitting if needed