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Machine Learning Engineer Internship, Generative AI - 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

ChatGPT took the world by storm due to its surprising capabilities. By the time it was launched it was a massive model, requiring many GPUs to run. Fast forward to 2024, and we have 1B LLMs that fit in a smartphone and have similar quality levels. The community has also realized that small models using techniques like chain of thought can outperform much larger models. The focus of this internship is on model usage: how can we extract a higher-quality output from existing small-sized pre-trained models?

This internship works at the intersection of software engineering and machine learning engineering, bringing state-of-the-art generative breakthroughs to transformers in a user-friendly fashion. By the end of this internship, the candidate will have touched all facets that power LLM APIs, including hardware acceleration, numerical precision problems, common machine learning caveats, and the importance of writing scalable software.

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.

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What You Should Know About Machine Learning Engineer Internship, Generative AI - EMEA Remote, Hugging Face

At Hugging Face, we're thrilled to announce our Machine Learning Engineer Internship focusing on Generative AI, perfectly designed for tech enthusiasts eager to dive into the world of AI while working remotely across the EMEA region. Our mission is clear: democratize AI and empower creators by building the fastest-growing platform for AI builders. With over 5 million users and 100k organizations leveraging our resources, you're stepping into a vibrant community that thrives on innovation. This internship is not just about understanding existing models; it’s about enhancing them. You'll explore how to get more from small-sized pre-trained models, marrying software engineering with machine learning engineering. Imagine the excitement of working on state-of-the-art generative breakthroughs, making them accessible to artists and engineers alike! By the end of your journey with us, you'll have a solid grip on essential aspects of LLM APIs, including tackling numerical precision challenges and the nuances of writing scalable software. If you have an artistic flair and a passion for open-source, Hugging Face is your place! We're committed to building a diverse and inclusive team where everyone's skills and experiences are valued. Even if you don't meet every requirement, we encourage you to apply. Join us, and let's co-create a future that intertwines technology and creativity in meaningful ways!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Internship, Generative AI - EMEA Remote Role at Hugging Face
What should I know about the Machine Learning Engineer Internship at Hugging Face?

The Machine Learning Engineer Internship at Hugging Face is an exciting opportunity for aspiring engineers to explore the intersection of software engineering and machine learning engineering. You'll work on enhancing small-sized pre-trained models while gaining practical experience in generative AI. This role allows you to significantly contribute to a vibrant community of over 5 million users, all while working remotely in the EMEA region.

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What qualifications do I need for the Machine Learning Engineer Internship at Hugging Face?

While specific qualifications can vary, Hugging Face values a genuine passion for open-source, creativity, and a willingness to learn. Candidates should have a strong foundation in programming and an understanding of machine learning concepts. If you're eager to make an impact, we encourage you to apply even if you don't tick every box.

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What does the Machine Learning Engineer Internship at Hugging Face involve?

This internship focuses on model usage, particularly how to extract high-quality outputs from small pre-trained models. Interns will tackle challenges related to hardware acceleration, numerical precision, and software scalability. By engaging in these tasks, you'll enhance your skills and contribute to groundbreaking projects within the generative AI field.

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How will the Machine Learning Engineer Internship help my career at Hugging Face?

The Machine Learning Engineer Internship at Hugging Face is a pivotal career move that offers hands-on experience in one of the fastest-growing ML ecosystems. You'll work alongside industry experts, participate in impactful projects, and build a robust professional network, positioning yourself favorably for future opportunities in AI and machine learning.

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Can you explain the work culture at Hugging Face for interns?

Hugging Face prides itself on fostering a diverse, inclusive, and supportive work culture. As an intern, you will be immersed in an environment that values respect and collaboration. With a focus on continuous learning, flexible working hours, and well-being initiatives, you can expect to thrive professionally and personally during your internship.

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Are there opportunities for further development after the Machine Learning Engineer Internship at Hugging Face?

Yes! Hugging Face is committed to the growth of its employees, including interns. You will receive reimbursement for relevant conferences, training, and education, along with potential full-time opportunities after completing your internship, depending on performance and organizational needs.

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What technologies will I work with during the Machine Learning Engineer Internship at Hugging Face?

During the Machine Learning Engineer Internship at Hugging Face, you'll work with cutting-edge technologies related to machine learning and generative AI. This includes exposure to transformer models, hardware acceleration techniques, and a wide array of open-source tools, all aimed at improving small-sized models' performance.

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Common Interview Questions for Machine Learning Engineer Internship, Generative AI - EMEA Remote
What motivates you to apply for the Machine Learning Engineer Internship at Hugging Face?

Reflect on your passion for AI and open-source technology. Highlight how Hugging Face's mission resonates with your career goals and your excitement to contribute to innovative projects, demonstrating your alignment with the company's values.

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How do you approach problem-solving in machine learning models?

Discuss your systematic approach to tackling problems. Highlight the importance of understanding data, conducting thorough analysis, and iterating through potential solutions. Sharing specific examples of past challenges can be beneficial.

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Can you explain a machine learning concept you're passionate about?

Pick a concept like transfer learning or small model performance. Don't just define it; discuss its implications, applications, and why it intrigues you. Relating it to Hugging Face's projects could showcase relevant knowledge.

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Describe a project where you utilized open-source tools.

Share a specific project where you used open-source libraries to tackle a problem. Explain your role, the tools you used, the results achieved, and how this experience aligns with Hugging Face's focus on collaboration and community.

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What do you understand by numerical precision in machine learning?

Explain that numerical precision pertains to how computers represent numbers, impacting model performance. Discuss its challenges and ways to mitigate related issues, expressing your enthusiasm for solving technical problems in this area.

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How would you enhance the output quality of small-sized models?

Discuss techniques such as fine-tuning, utilizing chain of thought, or optimizing the training process. Emphasize your creative approach and willingness to experiment with different strategies to improve model performance.

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What skills do you bring to the Machine Learning Engineer Internship?

Highlight a blend of your technical skills, such as programming and machine learning understanding, along with soft skills like creativity and collaboration. Relate how these skills align with the values and goals of Hugging Face.

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How do you keep up with current trends in AI?

Explain your commitment to continuous learning, whether through attending conferences, following industry leaders on social media, or engaging in community forums. Share specific examples of recent trends you've followed, particularly relevant to Hugging Face.

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What are your thoughts on diversity and inclusion in the workplace?

Demonstrate an understanding of why diversity and inclusion matter, especially in AI, and how different perspectives can foster innovation. Share your views on how you can contribute to building an inclusive culture at Hugging Face.

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Why do you believe collaboration is important in machine learning projects?

Discuss how collaboration enhances problem-solving by bringing diverse perspectives together. Highlight examples of collaborative projects you have worked on, showcasing your dedication to teamwork in achieving shared goals.

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Internship, remote
DATE POSTED
November 28, 2024

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