Open-Source Machine Learning Engineer Hugging Face
Community-driven platform for ML models.
CDI
Paris
Télétravail total
Salaire : non spécifié
> 3 ans
Les compétences que l’on cherche
GitHub
TensorFlow
TICK
Pytorch
Github Issues
+3
Votre nouvelle entreprise
667 collaborateurs
Logiciels
Intelligence artificielle / Machine Learning
L'avis de Welcome
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.
Vos missions au quotidien
- As an Open-Source Machine Learning Engineer, you’ll work to improve the open-source machine learning ecosystem
- You’ll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you’ll interact with users and contributors across the broad open-source ML ecosystem
- We’ll brainstorm with you to put you in a position to do the work that interests you and that is impactful
- You’ll help foster one of the most active machine learning communities, helping users contribute to and use the tools you buil
- You’ll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack
Benefits
- Flexible Work Environment
- Health Insurance
- Unlimited PTO
- Equity
- Growth, Training, & Conferences
- Generous Parental Leave
Ce que l’on cherche
- You have a public track record of open-source work, and you enjoy collaborating with a community out in the open on GitHub
- You love open source, you’re passionate about making complex technology more accessible, and you want to contribute to one of the fastest-growing ML ecosystems. If that’s you, we can’t wait to see your application
- Experience collaborating with a technical community in the open (GitHub issues and reviews, forums, Slack or Discord)
- Fluent written English for asynchronous collaboration across a distributed, global community
- Solid understanding of modern machine learning and deep learning, including transformer architectures
- Practical experience with the Hugging Face open-source stack (Transformers, Datasets, Accelerate) or comparable ML libraries
- A public track record of open-source contributions, for example merged pull requests to ML or data libraries, that we can review on GitHub
- Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow a plus)
- Strong Python skills, with experience writing clean, well-tested, maintainable library code
- If you’re interested in joining us but don’t tick every box above, we still encourage you to apply
- Prior contributions to Transformers, Datasets, Accelerate, or similar libraries
- Familiarity with distributed training, inference optimization, or GPU/accelerator performance work
- Experience maintaining an open-source project
- Experience training or fine-tuning models at scale
Nos étapes de recrutement
- 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