Hugging Face

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the role: We are looking for a Site Reliability Engineer responsible for maintaining and scaling our product infrastructure. The ideal candidate will have experience maintaining large infrastructure for AI workflows and strong experience supporting teams to create best practices for reliability and scalability. Responsabilities: Design, develop, deploy, and maintain reliable and scalable infrastructure. Manage large Kubernetes clusters. Measure and optimize system performance....

Founding Decentralized ML Research Engineer Hugging Face Here at Hugging Face, we’re on a journey to advance good machine learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15,000 companies are using Hugging Face’s tools in production, including leading AI organizations such as Google, Microsoft, Elastic, Salesforce, Grammarly, and NASA. About the Role This is a new team at Hugging Face and you will be joining as the founding ML engineer. This will come with leadership responsibilities and helping the team grow over time. As a Decentralized Machine Learning Research Engineer, you will be collaborating with open-source communities while doing impactful machine learning research. You’ll be responsible for establishing collaborations with researchers,...

Founding Decentralized ML Research Engineer Hugging Face Here at Hugging Face, we’re on a journey to advance good machine learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15,000 companies are using Hugging Face’s tools in production, including leading AI organizations such as Google, Microsoft, Elastic, Salesforce, Grammarly, and NASA. About the Role This is a new team at Hugging Face and you will be joining as the founding ML engineer. This will come with leadership responsibilities and helping the team grow over time. As a Decentralized Machine Learning Research Engineer, you will be collaborating with open-source communities while doing impactful machine learning research. You’ll be responsible for establishing collaborations with researchers,...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role Aligning large language models to follow human instructions is an exciting and fast-moving field of research that underlies the development of open chat models like Llama2-Chat and Zephyr. The goal of this internship is to implement cutting-edge alignment research and make it accessible to the global AI community in the form of code, datasets, and models. Topics include augmenting capabilities such as coding or addressing challenges such as reducing inaccurate responses or...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role Aligning large language models to follow human instructions is an exciting and fast-moving field of research that underlies the development of open chat models like Llama2-Chat and Zephyr. The goal of this internship is to implement cutting-edge alignment research and make it accessible to the global AI community in the form of code, datasets, and models. Topics include augmenting capabilities such as coding or addressing challenges such as reducing inaccurate responses or...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, collaborative library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. About the job We are looking for an Applied Policy Researcher to join our Machine Learning and Society team. You will work at the intersection of...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role For this position, you will be making cutting edge speech-to-text and text-to-speech technologies more accessible to the open-source community. You will work in existing open-source libraries, such as Transformers, boosting the support for robust speech-to-text, speaker diarization, text-to-speech and lead the creation of novel open-source libraries for ML in audio. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role Hugging Face regularly conducts large-scale training collaborations with external teams and academic research groups. You will join the small team in charge of the next large-scale collaboration. You should enjoy community handling, distributed team coordination, and tackling multiple (more or less exciting) tasks in a very flexible project, all to train a great model for the community. About You If you love open-source, are passionate about making complex technology more...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role Hugging Face regularly conducts large-scale training collaborations with external teams and academic research groups. You will join the small team in charge of the next large-scale collaboration. You should enjoy community handling, distributed team coordination, and tackling multiple (more or less exciting) tasks in a very flexible project, all to train a great model for the community. About You If you love open-source, are passionate about making complex technology more...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role To train its LLM, Hugging Face uses a particular 3D parallelism distributed training library internally (which we plan to open-source at some point). You will join the small team maintaining and improving this library. You should enjoy diving into CUDA kernels and performance optimization. About You If you love open-source, are passionate about making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems,...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role To train its LLM, Hugging Face uses a particular 3D parallelism distributed training library internally (which we plan to open-source at some point). You will join the small team maintaining and improving this library. You should enjoy diving into CUDA kernels and performance optimization. About You If you love open-source, are passionate about making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems,...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role This internship works on the intersection between vision, multimodal models, and software engineering. It focuses on implementing cutting-edge research to ensure its availability and relevance to the global open-source community. In it, the candidate will work closely with ML engineers across the company to add models, tooling, and datasets, as well as research ways to make these more accessible and practical for the community. Join and help in democratizing ML!  About You If...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role This internship dives into what makes LLMs powerful today: the quality of the data that powers them. In collaboration with lead authors of famous web-scale datasets (like Guilherme, the lead author of the RefinedWeb dataset), we will push the envelope of LLM model performances through careful data engineering and processing at scale. You should like large-scale data processing projects. About You If you love open-source, are passionate about making complex technology more...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role This internship dives into what makes LLMs powerful today: the quality of the data that powers them. In collaboration with lead authors of famous web-scale datasets (like Guilherme, the lead author of the RefinedWeb dataset), we will push the envelope of LLM model performances through careful data engineering and processing at scale. You should like large-scale data processing projects. About You If you love open-source, are passionate about making complex technology more...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role You'll work alongside open-source experts on machine learning applied to computer vision and document AI. This includes various possible directions: developing and integrating research ideas and advancing the field with benchmarks, leaderboards, implementations, and evaluations. About You If you love open-source, 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...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role You'll work alongside open-source experts on machine learning applied to computer vision and document AI. This includes various possible directions: developing and integrating research ideas and advancing the field with benchmarks, leaderboards, implementations, and evaluations. About You If you love open-source, 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...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role This internship works at the intersection of software engineering and machine learning engineering, bringing state-of-the-art LLM research and multimodal generative breakthroughs to transformers in a user-friendly fashion. By the end of this internship, you 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...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role This internship works at the intersection of software engineering and machine learning engineering, bringing state-of-the-art LLM research and multimodal generative breakthroughs to transformers in a user-friendly fashion. By the end of this internship, you 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...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role Quantization of large language models (LLMs) is a promising field since it allows LLMs to be run and fine-tuned on consumer-grade hardware, making these models accessible to a wider audience. Many papers today launched the race towards the 1-bit precision transformer model. The goal of the internship will be to explore these novel quantization techniques by trying to reproduce some of the results and combine different approaches proposed in each paper. The ultimate goal is to...

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role Quantization of large language models (LLMs) is a promising field since it allows LLMs to be run and fine-tuned on consumer-grade hardware, making these models accessible to a wider audience. Many papers today launched the race towards the 1-bit precision transformer model. The goal of the internship will be to explore these novel quantization techniques by trying to reproduce some of the results and combine different approaches proposed in each paper. The ultimate goal is to...