As an open-source Machine Learning Engineer at Hugging Face, you will enhance the open-source machine learning ecosystem by working with libraries like Transformers, Datasets, and Accelerate. You will engage with a global community of AI builders, researchers, and practitioners to support and improve widely used tools in the ML space.
What You'll Do
- Improve the open-source machine learning ecosystem
- Work with existing open-source libraries such as Transformers, Datasets, or 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 you build
- Interact with Researchers, ML practitioners, and data scientists daily through GitHub, forums, or Slack
What We're Looking For
- Love for open-source
- Passion for making complex technology more accessible
- Desire to contribute to one of the fastest-growing ML ecosystems
Technical Stack
- Transformers
- Datasets
- Accelerate
Benefits & Compensation
- Flexible working hours
- Remote options
- Health, dental, and vision benefits for employees and their dependents
- Parental leave
- Flexible paid time off
- Opportunity for remote employees to visit offices in NYC and Paris
- Workstation setup support for remote employees
- Reimbursement for relevant conferences, training, and education
- All employees have company equity as part of their compensation package
Work Mode
Fully remote with flexible working hours; remote employees can visit office locations in NYC and Paris.
Hugging Face is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
