Machine Learning Engineer Internship, Generative AI - US Remote
At Hugging Face, were 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 supportedregardless 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.
Apply Now
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 supportedregardless 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.
Apply Now