Founding Decentralized ML Research Engineer - EMEA Remote
Hugging Face, France
Job Description
Founding Decentralized ML Research Engineer
Hugging Face
Here at Hugging Face, we’re on a journey to advance good machine learning and make it more accessible. Along the way, we contribute to the development of technology for the better.
We have built the fastest-growing, open-source library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15,000 companies are using Hugging Face’s tools in production, including leading AI organizations such as Google, Microsoft, Elastic, Salesforce, Grammarly, and NASA.
About the Role
This is a new team at Hugging Face and you will be joining as the founding ML engineer. This will come with leadership responsibilities and helping the team grow over time.
As a Decentralized Machine Learning Research Engineer, you will be collaborating with open-source communities while doing impactful machine learning research. You’ll be responsible for establishing collaborations with researchers, identifying areas Hugging Face’s tools and libraries can support researchers throughout the research process, and collaborating with researchers to publish amazing work.
The work will likely be pretty varied: in some cases, you might work with industry or academic partners early in the research process and coauthor papers. In other cases, you might set up these collaborations at a high level and guide them to the final release. We’re interested in folks who are willing to experiment with different models and figure out how to have the most impact while working with the amazing open-source machine learning community.
About you
You have done cutting-edge machine learning research and/or engaged and collaborated with the research/open source community, such as Hugging Face, Eleuther, Carper, LAION, OpenAssistant or researchers at Google, Meta, etc
If you love open-source research, 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!
If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact.
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supportedregardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.