4 applied research 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 During this internship, you will work with the open-science team at Hugging Face to develop a framework for creating, evaluating, and visualizing datasets for large language models, with text and text-like data (code, mathematics…) but also other modalities paired with text (images and text, for instance). You’ll integrate with and contribute to open source libraries, such as Datasets or Megatron-LM, and create new tools dedicated to getting the best possible data for large model...

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 70K+ 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 embodied research intern, you will work closely with the researchers at HuggingFace in the embodied AI team. From developing prototypes, to creating and monitoring experiments for designing new novel machine learning architectures, you will experience all cycles of typical industry research while executing a research agenda from start to finish. This role is particularly well suited for someone who is looking to do research or build tools that will change how embodied AI is...

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 this internship, you will work with the open-science and open-source teams at Hugging Face to help develop a fast and flexible framework for training large - 100 billion or above - Transformer models over distributed computing infrastructure. You’ll test and integrate features from cutting-edge research papers, and help make state-of-the-art innovations accessible to all, concentrating on scalability and speed - the key ingredients that make today’s large model research...

We are Grafana Labs; the company behind the Grafana project. Our team is building a SaaS observability platform: Grafana Cloud, and an Enterprise offering: Grafana Enterprise, while cementing Grafana as the leading open source software for time series analytics.   Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including  Prometheus ,  Mimir ,  Loki , and  Tempo  – without the overhead of installing, maintaining and scaling their own observability stack. The Observability team at Grafana: Our mission is to give users the capability to aggregate data from any source they have within their environment, opening the door to a new way of thinking about observability. We want users to be able to leverage Grafana to view their infrastructure as well as the lifecycle of their software in a composable fashion.  The Observability team...