Job details

Machine Learning Engineer Internship, Accelerate - US 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

This internship works at the intersections of software engineering, machine learning engineering, and education. With a strong focus on distributed training through the accelerate library (https://huggingface.co/docs/accelerate/index), we’ll focus on bringing state-of-the-art training techniques into the library while also documenting and helping teach others how they work.

By the end of this internship, the candidate will have touched on all aspects of distributed training and core library contributions, including large-scale distributed training, API design, writing educational material aimed at a semi-technical audience, and understanding the nuances of writing software that scales.

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.

Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

Hugging Face Glassdoor Company Review

3.6

Hugging Face DE&I Review

4.0

CEO of Hugging Face

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What You Should Know About Machine Learning Engineer Internship, Accelerate - US Remote, Hugging Face

As a Machine Learning Engineer Intern at Hugging Face, your adventure starts in an inspiring environment dedicated to democratizing AI. With our rapidly growing platform supporting over 5 million users and countless organizations, you’ll be part of a team that is reshaping the landscape of machine learning. Here, you'll dive into the dynamic world of software engineering and ML engineering, honing your skills at the intersection while focusing on distributed training through the Accelerate library. Your role entails not only working on cutting-edge training techniques but also documenting these processes, making complex concepts digestible for engineers and creators alike. This internship is designed for hands-on learning where you’ll touch every aspect of distributed training and library contributions, including API design and writing educational materials aimed at a semi-technical audience. With a strong emphasis on fostering creativity and collaboration, Hugging Face welcomes your unique perspective, regardless of whether you meet every single requirement. Passionate about open-source and eager to contribute to one of the fastest-growing ecosystems in machine learning? This is the place for you! Plus, enjoy the flexibility of remote work while being part of a diverse team that values growth, impact, and well-being. Be prepared to engage with some of the brightest minds in the field, and don’t forget to share your story in your cover letter, including your skills and interests in open-source projects. We can’t wait to see how you could fit into our exciting journey!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Internship, Accelerate - US Remote Role at Hugging Face

What should I expect as a Machine Learning Engineer Intern at Hugging Face?

As a Machine Learning Engineer Intern at Hugging Face, you will explore the fascinating intersection of software and machine learning engineering. With a focus on distributed training through the Accelerate library, you'll have ample opportunity to develop your technical skills while contributing to high-impact projects aimed at making AI more accessible.