8 ml engineer internship jobs found

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 over 100M+ installs and 65K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role The Accelerate library allows PyTorch users to run their training loop on any kind of distributed setup and regroups multiple methods to accelerate training or inference (mixed precision, torch dynamo…). During your internship, you will integrate a new feature in Accelerate, such as training on TPU pods, FP8 mixed precision, or integrating with torch dynamo. (All of those are examples of features that are currently being added, the exact feature added during the internship will be...

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 over 100M+ installs and 65K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role As an AI Art Tooling Resident Intern you will work to further bridge the AI and art worlds. You will work with the latest advancements on generative media with Machine Learning, with a focus on open source tools, models and services - and work towards mix-and-matching approaches and creating pipelines for artistic or creative use-cases. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. About You If you love open-source but...

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 over 100M+ installs and 65K+ stars on GitHub, over 10 thousand 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 deploy and benchmark transformer models for both training and inference on several cutting-edge hardware accelerators supported by the Optimum library . This internship will aim at writing an open-source tool for benchmarking models on numerous tasks and at publishing the results in various ways, such as (but not limited to): Lead a common Hugging Face/Habana submission to the MLPerf benchmark . This will consist in getting the best training time and...

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 over 100M+ installs and 65K+ stars on GitHub, over 10 thousand 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 make cutting-edge diffusion model systems more accessible to the open-source community, focusing on image, audio, and video generation models. The primary focus of this internship will be on improving the sampling speed of large diffusion models through distillation or by implementing new sampling techniques. You will work in existing open-source libraries, such as Diffusers, Transformers, and Accelerate, to rapidly add new, exciting features and boost 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 over 100M+ installs and 65K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role During your internship on code generation, you will work with the open-source and science team at Hugging Face to broaden the accessibility of machine learning models for code. You’ll get to contribute to initiatives such as CodeParrot and BigCode and use open-source libraries, such as Transformers, Datasets, Accelerate, or Megatron-LM. You will develop tools to prepare large-scale datasets, train language models for code, and evaluate them on code benchmarks with the goal to foster...

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 over 100M+ installs and 65K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role The Hugging Face Hub’s role as a central repository where the latest generative ML models are shared and discussed makes it an ideal platform for supporting more systematic and transparent assessments of their impact on society. To facilitate these assessments, you will develop tooling and practical guides implementing recommendations from recent scholarship on defining and measuring critical categories of social impact. To that end, you will: Participate in the development 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 over 100M+ installs and 65K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role Speech recognition models are getting bigger, but practitioners need something smaller. As a Research Engineer for Efficient Speech Recognition, you will work on a 3-6 month research project investigating how state-of-the-art speech models can be made more accessible to the open-source community. This is a hybrid open-source / open-science role at the intersection of engineering and science. This project will be closely integrated into existing open-source libraries, such as...

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 over 100M+ installs and 65K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role As an open-source machine learning engineer intern, you will work on skops ( https://github.com/skops-dev/skops/ ) and its immediate surrounding ecosystem. skops sits on the edge of scikit-learn, mlops, and the Hugging Face Hub, and deals with challenges ranging from model serving, to model persistence, and model interpretation and model card generation. As an intern, you'd be working on one or more of these areas to move them further ahead while learning to deal with CI (continuous...