Founding Decentralized Machine Learning Research Engineer - Europe, Middle East, and Africa Remote

Founding Decentralized ML Research Engineer Hugging Face Here at Hugging Face, we are committed to advancing effective machine learning and increasing its accessibility. As we progress, we contribute to the development of improved technology. We have created the most rapidly expanding, open-source library of pre-trained models globally. With over 500K+ models and 250K+ stars on GitHub, our tools are used by over 15,000 companies in production, including top 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 the founding ML engineer. This role will come with leadership responsibilities and will aid in the team's growth over time. As a Decentralized Machine Learning Research Engineer, you will be partnering with open-source communities and conducting crucial machine learning research. You will be responsible for establishing collaborations with researchers, identifying areas where Hugging Face's tools and libraries can support researchers throughout the research process, and collaborating with researchers to publish outstanding work. The work will likely vary: in some cases, you might work with industry or academic partners early in the research process and coauthor papers. In other cases, you might initiate these collaborations on a larger scale and guide them to the final release. We are interested in individuals who are ready to experiment with different models and figure out how to maximize impact while working with the amazing open-source machine learning community. About You You have conducted cutting-edge machine learning research and/or collaborated with the research/open-source community, such as Hugging Face, Eleuther, Carper, LAION, OpenAssistant or researchers at Google, Meta, etc. If you are passionate about open-source research, making complex technology more accessible, and contributing to one of the fastest-growing ML ecosystems, then we eagerly await your application! If you're interested in joining us, but don't meet every requirement, we still encourage you to apply! We are building a diverse team whose skills, experiences, and backgrounds compliment one another. We're willing to evaluate where you could potentially make the most significant impact. More About Hugging Face We are actively working to cultivate a work environment that values diversity, equity, and inclusivity. We strive to create a workplace where everyone feels respected and supported, regardless of personal identity or background. We believe this is foundational to building a fantastic company and community. Hugging Face is an equal opportunity employer and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value growth. You will work with some of the smartest individuals in the industry. We are an organization that prefers impactful contributions and continuously challenges ourselves to grow. We provide fee reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours, and remote options. We provide 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 may be. While we have office spaces in NYC and Paris, we are very decentralized and all remote employees have the chance to visit our offices. If necessary, we will also equip your workstation accordingly to ensure your success. As an employee at Hugging Face, you will be a shareholder. All employees are granted company equity as part of their compensation package. If we succeed in becoming a definitive platform in machine learning and artificial intelligence, everyone stands to benefit. We support the community. We believe major scientific advancements result from collaboration across the field. Join a community supporting the ML/AI community.