Machine Learning Engineer Internship, AI Energy Score - EMEA Remote
At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.
About the Role
The energy requirements of machine learning models have been rising in recent years, raising concerns regarding the impacts of this on energy grids and the environment.
Building upon the AI Energy Score project, this internship will continue experimentation and analysis to get a better understanding of the energy efficiency of different models and deployment contexts (hardware, optimization techniques, serving stacks).
About You
If you love open-source but also have an eye for art and creativity, are passionate about making complex technology more accessible to engineers and artists, 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 supported—regardless 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 support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, 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 support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.
Average salary estimate
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Hugging Face is excited to invite ambitious individuals to apply for the Machine Learning Engineer Internship as part of the AI Energy Score project! This unique internship offers a fantastic opportunity to dive into the world of machine learning while making a significant contribution to energy efficiency. At Hugging Face, we're on a mission to democratize good AI, and with over five million users on our platform, we’re making waves in the AI community. As you roll up your sleeves, you’ll work on understanding and analyzing the energy effectiveness of various machine learning models and their deployment contexts, from hardware to optimization techniques. You'll be part of a diverse, inclusive team that values creativity alongside technical expertise. We believe in continuous growth, so ideal candidates should not only have a knack for technology but also a desire to make complex systems accessible. If you're passionate, eager to learn, and ready to impact the rapidly evolving ML landscape, we would love to hear from you! Our flexible working environment, supportive culture, and emphasis on professional development make Hugging Face a great place to launch your career. We encourage candidates who may not tick every box on the criteria to still apply, as we're here to discover how your unique skills can help shape the future of AI. Explore with us how we can balance innovation with sustainability while being part of a community that champions collaboration across the field. Join us in this exciting journey and help us create a more energy-efficient future in AI!
By
Hugging Face
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