57 remote jobs

The Python Software Foundation (PSF) is hiring for a full-time Security Developer in Residence, reporting to the PSF Director of Infrastructure. Role description In support of The PSF’s mission , we are hiring to facilitate a role within the Python community that will focus on assessing and improving the security of the language, ecosystem, infrastructure, and services around the Python language, and the Python ecosystem’s open-source software supply chain. As the Security Developer in Residence, you will work full time across a number of key projects of the PSF, applying your technical expertise to design, develop, test and propose changes with a security-minded focus. As an externally funded role, the term for this position will initially be one year with the possibility of extension based on available funding or renewals of funding. Responsibilities Organize and complete a third party security audit of PyPI Produce a security roadmap that...

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 technology development for the better. We have built a platform in which over 100,000 models and thousands of demos and datasets are shared. From Computer Vision to Natural Language Processing and Audio, lots of communities are collaborating through the Hugging Face Hub to do open-source Machine Learning. About the Role As a Machine Learning Advocate Lead , you will have a key role in driving the adoption of the Hugging Face Hub platform and Open Source technologies by contributing to the OS ecosystem in different domains and verticals (Computer Vision, Biotechnology, Healthcare, Art, etc), crafting tools to improve developer experience, and extending the use cases of the Hub. You’ll collaborate closely with Open Source, Research, and Product teams. As an experienced engineer and advocate, you will be crucial in mentoring other team members,...

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 Since the launch of Hugging Face, we have experienced healthy growth and steady market demand. Our solutions are already used by +5000 users and +300 paid customers. As our first Account Executive in Europe (ideally in Paris or London), you’ll play a key role in building our portfolio of customers and driving our success. You’ll be responsible for the entire sales cycle, while being able to leverage company resources, to reach a successful collaboration with our prospects 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 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 Since the launch of Hugging Face, we have experienced healthy growth and steady market demand. Our solutions are already used by +5000 users and +300 paid customers. As our first Account Executive in Europe (ideally in Paris or London), you’ll play a key role in building our portfolio of customers and driving our success. You’ll be responsible for the entire sales cycle, while being able to leverage company resources, to reach a successful collaboration with our prospects 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 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 a sales rep, you’ll play a key role in building our portfolio of customers and driving our success. You’ll be responsible for the entire sales cycle, while being able to leverage company resources, to reach a successful collaboration with our prospects and customers. About You You'll love working here if you have a passion for new technologies and machine learning. You are excellent at building deep relationships with prospects and customers. What matters to you is helping them...

This position comes with German language skills as a requirement, which is why the job posting is only available in German. Über uns Das Center for the Cultivation of Technology ist eine 2016 gegründete gemeinnützige GmbH, die internationale Open Source-Projekte bei der Organisation und Durchführung von Förderprojekten und bei der Spendenverwaltung unterstützt. Wir sorgen dafür, dass sich die Projekte auf das konzentrieren können was sie am besten können: freie Software und Hardware entwickeln. Unser kleines, wachsendes Team geht individuell auf die Bedürfnisse und Umstände der Partnerprojekte ein. Wir greifen dabei auf ein großes Netzwerk an Expert *innen und Freund* innen aus verschiedenen Bereichen zurück, und bringen Projekte miteinander in Verbindung, wodurch sich neue Möglichkeiten der Zusammenarbeit ergeben. Wir pflegen den Kontakt mit Förder*innen und beraten an Freier Software interessierte Organisationen, und tragen so dazu bei, Projekte und...

We are seeking a DevOps engineer in KernelCare who will be a part of a QA automation team which is responsible for the whole CI/CD processes inside KernelCare. This team: - develops tools, tests, jobs, pipelines, deployments and much more interesting stuff; - digs into complex linux related problems; - makes KernelCare developers happier every day; - tries brand new technologies to enhance current processes. KernelCare is a product of CloudLinux Inc., the maker of the #1 OS in security and stability for hosting providers. KernelCare is a live kernel patching service that provides security patches and bug fixes for a range of popular Linux kernels that can be installed without rebooting the system. Check out our website for more information about our KernelCare Product https://tuxcare.com/live-patching-services/ Requirements Your responsibilities will be: Take ownership of a complex automatic test system infrastructure Improve stability and performance of...

Hiring Ranges: US Tier 1 Locations: $102,000 USD - $150,000 USD US Tier 2 Locations: $94,000 USD - $138,000 USD US Tier 3 Locations: $87,000 USD - $127,000 USD To learn more about our Hiring Range System, please click this link. Mozilla’s mission is to champion the value of the internet as a global public resource. To realize the Mozilla Manifesto, we need global laws and policies in support of (1) our open source products and technologies (2) consumer interests and (3) an open and diverse tech ecosystem. Do you like working on big-picture problems? Join us to influence the future of tech policy! Responsibilities: Partner with internal and external stakeholders to collect and analyze public policy developments in key jurisdictions across the globe. Coordinate cross-functional working groups with a diverse set of internal partners, including program management duties. Collaborate with colleagues in the Mozilla Foundation on campaigns...

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. Transformers in NLP pushed forward the computational requirements and the trend started to expand to other modalities such as Computer Vision and Speech which are actively adopting Transformer architectures to build the latest state-of-the-art models. About the Role 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...

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 76K+ 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 a ML Engineer, you will work to improve the open-source accessibility of Document AI models and datasets. You will work towards creating datasets and training models from scratch, reproducing and building on top of the state-of-the-art Document AI techniques, in an effort to broaden open-source use cases and increase the availability of models with permissive licenses. You will get to work with a number of open-source tools, including but not limited to: Transformers, Datasets,...

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 76K+ 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 a ML Engineer, you will work to improve the open-source accessibility of Document AI models and datasets. You will work towards creating datasets and training models from scratch, reproducing and building on top of the state-of-the-art Document AI techniques, in an effort to broaden open-source use cases and increase the availability of models with permissive licenses. You will get to work with a number of open-source tools, including but not limited to: Transformers, Datasets,...

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 technology development for the better. We have built a platform in which over 100,000 models and thousands of demos and datasets are shared. From Computer Vision to Natural Language Processing and Audio, lots of communities are collaborating through the Hugging Face Hub to do open-source Machine Learning. About the Role As a Machine Learning Integrations Engineer, you will be key in driving the adoption of the Hub platform and open-source technologies by creating, fostering, and growing communities and developing tools to improve the developer experience. You’ll collaborate closely with the Open Source, Science, and Product teams. In your day-to-day, you would lead integrations with different Open Source libraries from the ecosystem and engage with external research groups to help them share their models and datasets on the Hub. You'll...

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...