Job details

ML Research Engineer Internship, FineWeb - 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

High-quality datasets are the foundation of strong LLMs, yet, most labs releasing state-of-the-art models are vague when it comes to the pretraining data. At Hugging Face we want to enable all the community to build the best models by building and open-sourcing the finest datasets. FineWeb and FineWeb-Edu are examples of very strong, web-scale datasets we released this year while also open-sourcing the distributed processing library datatrove.

During this internship you will work alongside the FineWeb team and build the next generation of high-quality web data, by running distributed data processing and ablating the data quality by training small models. Checkout hf.co/science for more information about the science team at Hugging Face and the FineWeb and FineTask blog posts for the work of this team specifically.

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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Average salary estimate

$60000 / YEARLY (est.)

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$50000K

$70000K

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What You Should Know About ML Research Engineer Internship, FineWeb - US Remote, Hugging Face

As an ML Research Engineer Intern at FineWeb, you'll be immersing yourself in the world of AI while working remotely with a dynamic team dedicated to democratizing good AI. At Hugging Face, we're not just about powerful models and algorithms; we strive to build a platform that truly empowers creators, both engineers and artists, to excel in their fields. During your internship, you'll engage in groundbreaking work to create high-quality web data—a vital component for effective AI models. Your responsibilities will include running distributed data processing and assessing data quality through training small models, ensuring you contribute to community-driven advances in machine learning. This opportunity is perfect for those who are not only passionate about technology but also bring a creative flair to the table. We appreciate diverse skill sets and encourage individuals to apply, even if you feel you don’t meet every qualification. At Hugging Face, we’re committed to building an inclusive environment where everyone feels respected and supported, and where your voice matters. If you're ready to take your passion for open-source to new heights and work alongside some of the brightest minds in the industry, we'd love to see your application. Plus, you'll enjoy flexible working hours and a laptop outfitted to your needs, whether you're in a café or at home. Join us and be part of this exciting journey, helping to shape the future of machine learning.

Frequently Asked Questions (FAQs) for ML Research Engineer Internship, FineWeb - US Remote Role at Hugging Face

What responsibilities can I expect as a ML Research Engineer Intern at FineWeb?

As a ML Research Engineer Intern at FineWeb, you will primarily focus on building high-quality web data essential for developing strong machine learning models. Your tasks will include running distributed data processing and enhancing data quality by training small models, which are critical to advancing Hugging Face's mission.