103 remote jobs

We are looking for (4) Kernel Developers to work on our KernelCare team. The ideal candidate is someone looking for a rewarding and challenging career developing Linux Kernels and patches. This role requires someone with strong C development skills and a passion for all that is Linux. Our Kernel Developers create patches with a cyber security focus while finding solutions for our customers. KernelCare is a product of CloudLinux Inc., the maker of the #1 OS in security and stability for hosting providers. KernelCare, a live kernel patching service 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/ CloudLinux is a global remote-first company. We are driven by our principles: Do the right thing, employees first, we are remote first, and we deliver high volume, low-cost Linux...

We are looking for a QA Automation Engineer to join our KernelCare team. The ideal candidate will perform functional tests on Kernel development to identify bugs and regressions as well as working on its stability and performance. This is an excellent opportunity for someone who is passionate about test automation within a cybersecurity space. KernelCare, CloudLinux’s fastest-growing product, provides automated kernel security updates without reboots for the most popular Linux distributions. It ensures optimal performance and uptime by allowing hosting providers and enterprises to keep kernels up-to-date with all security patches while keeping servers online. We are Cloud Linux Inc., the maker of the #1 OS for web hosting providers. We develop our products - CloudLinux OS, KernelCare, and Imunify360 - using the most innovative technologies. Our products are used by thousands of companies around the world. Work is fully remote, with flexible hours, where you can plan your day and...

You will identify the source of the problems described to you and find solutions to fix them, mediating between customers and Sirius’ engineers and management. Your responsibilities and duties will include receiving technical support tickets, phone calls, or emails, contacting the user or customer, listening to their issue, diagnosing the problem, and walking them through the solution. In some cases, you might have to escalate problems you are unable to resolve to the appropriate expert. You will need to know your way around Linux and Open Source to take on this role. A degree in computer science or an IT-related field might be necessary. Experience in troubleshooting hardware or software-related issues will be a must. Great communication skills, an analytical mindset, and attention to detail will be much appreciated. Candidates must be able to triage customer issues (support incidents) from incoming calls and emails, customer systems, and real-time telemetry...

At Prisma, we are building the data layer for modern applications. If you are fascinated by the leading-edge architecture and technology used in today’s data-intensive, highly scalable software systems, with distributed graph data on a massive scale, but you want the energy, challenges, and freedom that come with working in a small startup, then a job at Prisma might be for you. With funding from top-tier investors Amplify Partners and Kleiner Perkins, we are a small, distributed team working on making the advanced data infrastructure developed by large tech companies accessible to all application developers around the world. Our hard work is paying off, with adoption and implementation of Prisma by some of the most successful and interesting companies out there today, and the fun is just beginning! We are focused on bottom-up adoption, and most of our software is open-source. We have a vibrant community on   Slack   and   GitHub   - with over 55,000 members on Slack -...

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 130K+ models and 110K+ 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 Roles at Hugging Face are very fluid and dynamic -- we are looking for someone who is comfortable taking on different challenges that will evolve over time. In the short term, the focus of this role is to help develop Gradio ( www.gradio.dev ), a Python framework that lets users build machine learning demos and other web apps, in just a few lines of Python. At this point, Gradio has been used to build ~500,000 ML demos in NLP/CV/speech/biomedical machine learning, including >2,000...

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 130K+ models and 110K+ 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 Senior UX/UI designer , you will work with our Product team and take ownership of the product and be responsible for ensuring its success in the market. You will imagine and build the next features for the HuggingFace Hub (hf.co) and other potential cool products. You don't necessarily have to code, but you will contribute to products in the "Developer tools" and machine learning space so having a generalist mindset is essential. We value that each team member works on...

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 130K+ models and 110K+ 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 ML engineer specialized in Tensorflow model training, you will work mainly with existing open-source libraries, such as Transformers and Accelerate to boost the support for all the new advances in model training and fine-tuning such as DeepSpeed, fairscale, and all forms of model parallelism. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners,...

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 130K+ models and 110K+ 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 ML engineer specialized in Tensorflow model training, you will work mainly with existing open-source libraries, such as Transformers and Accelerate to boost the support for all the new advances in model training and fine-tuning such as DeepSpeed, fairscale, and all forms of model parallelism. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners,...

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 130K+ models and 110K+ 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 ML engineer in vision, you will work mainly with existing open-source libraries, such as Transformers and Datasets to boost the support for vision or multi-modal models and datasets. You will bring your computer vision expertise to provide the best computer-vision tool stack in the machine learning ecosystem and work with us to provide the best, simplest, and most intuitive computer-vision library in the industry. You'll get to foster one of the most active machine learning...

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 130K+ models and 110K+ 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 ML engineer in vision, you will work mainly into existing open-source libraries, such as Transformers and Datasets to boost the support for vision or multi-modal models and datasets. You will bring your computer vision expertise to provide the best computer-vision tool stack in the machine learning ecosystem and work with us to provide the best, simplest, and most intuitive computer-vision library in the industry. You'll get to foster one of the most active machine learning...

If you don't see the perfect job position, just apply to this one - we'll brainstorm with you to put you in position to do the best work of your life at Hugging Face! More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity . We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences,...

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 130K+ models and 110K+ 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. 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 Role If you are passionate about building Machine Learning solutions used by millions leveraging the cloud stack and services of Cloud Service Providers: 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 over 130K+ models and 110K+ 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. 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 Role If you are passionate about building Machine Learning solutions used by millions leveraging the cloud stack and services of Cloud Service Providers: 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 over 130K+ models and 110K+ 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 Machine Learning Advocate Engineer for Africa , you will have a key role in driving the adoption of the Hub platform and Open Source technologies by creating, fostering and growing communities, extending the use cases of the Hub, developing tools to improve the developer experience, and bringing feedback to the team. You’ll collaborate extremely closely with both the Open Source, Science and Product teams. This is not a marketing position! Developer Advocacy at Hugging Face 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 130K+ models and 110K+ 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 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...

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 130K+ models and 110K+ 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 Community Builder , you will be key in driving the adoption of the Hugging Face Hub Open Source technologies and platform by scaling the community efforts and contributing to the OS ecosystem. You’ll collaborate closely with Open Source, Advocacy, Research, and Product teams. You'll get to foster and scale healthy machine learning communities. You'll also get to help users contribute to the tools HF builds, organize community events, and interact with researchers, ML...

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 130K+ models and 110K+ 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 early member of Hugging’s Face’s Success team, your goal will be to grow accounts, focusing on larger companies: reducing the likelihood of churn and more importantly upselling to larger services engagements by making recommendations to the decision makers, typically directors of data science and their internal customers. While MLEs in the success team focus on the delivery of the services working hand in hand with the customer data scientists and machine learning engineers,...

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 130K+ models and 110K+ 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 Machine learner, you will work mainly with existing open-source libraries, such as Transformers and Accelerate to boost the support for all the new advances in model training and fine-tuning such as DeepSpeed, fair scale, and all forms of model parallelism. You'll get to foster one of the most active machine-learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners, and data scientists on a daily basis...