Machine Learning Engineer Internship, Hugging Face
Accelerate
Community-driven platform for ML models
Job no longer available
Community-driven platform for ML models
501-1000 employees
Job no longer available
501-1000 employees
Company mission
Hugging Face is on a mission to democratize good machine learning, one commit at a time.
Role
Who you are
- 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
What the job involves
- 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, 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
Application process
- 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
Our take
Large language models, which recognise and generate text, are already being used to auto-complete sentences, power chatbots, moderate content, summarise news articles, and translate text online. However, many of these advances are happening behind closed doors, stifling innovation and raising ethical concerns.
To combat this, Hugging Face is building the "GitHub of machine learning". It’s a community-driven platform with a ton of repositories, where developers can create, discover and collaborate on ML models, datasets and ML apps. This work led to the creation of BLOOM in 2022, an open-access LLM with similar architecture to OpenAI’s GPT, but that is multilingual by design.
The company also launched the Hugging Chat Assistant, an open-source tool creating personalised chat assistants, in direct competition with OpenAI's paid service ChatGPT Plus. By continually creating value based on a global community, not just for Microsoft or Google, HuggingFace should be able to carve out its own path for success.
Freddie
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Aug 2023
$235m
SERIES D
May 2022
$100m
SERIES C
Total funding: $395.8m
Company benefits
- Flexible Work Environment
- Health Insurance
- Unlimited PTO
- Equity
- Growth, Training, & Conferences
- Generous Parental Leave
Company HQ
Dumbo, NY
Leadership
Clem Delangue
(Co-Founder & CEO)Created Moodstocks, a startup building machine learning for computer vision acquired by Google. Also built Mention where they were head of Product and CMO until the company was acquired by MyNewsDesk.
Julien Chaumond
(Co-Founder & CTO)Former advisor for the Deputy Minister for Digital Affairs in Paris, and Senior engineer for Stupefix app that was acquired by GoPro. Also co-founded and was CTO of Glose.
Thomas Wolf
(Co-Founder & CSO)After graduating from Ecole Polytechnique, they worked on laser-plasma interactions at the BELLA Center of the Lawrence Berkeley National Laboratory. Also worked as a European Patent Attorney for 5 years.
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