28 jobs found in france

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 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...

The GitLab DevOps platform  empowers 100,000+ organizations to deliver software faster and more efficiently. We are one of the  world’s largest all-remote companies with 2,000+ team members and values  that guide a culture where people embrace the belief that everyone can contribute. Responsibilities Strategic Account Leader will report to an Area Sales Manager or Regional Director. Support GitLab for our  strategic and large  prospects. Contribute to root cause analysis on wins/losses. Communicate lessons learned to the team, including account managers, the marketing team, and the technical team. Take ownership of your book of business document the buying criteria document the buying process document next steps and owners ensure pipeline accuracy based on evidence and not hope Contribute to documenting improvements in our  sales handbook . Provide account leadership and direction in the pre- and post-sales process Conduct sales...

The GitLab DevOps platform  empowers 100,000+ organizations to deliver software faster and more efficiently. We are one of the  world’s largest all-remote companies with 2,000+ team members and values  that guide a culture where people embrace the belief that everyone can contribute. The Customer Success team focuses on the themes of align, enable, and expand. We align with customers' desired business outcomes, enable them on their existing use cases, and work with them to expand into additional use cases, ensuring ongoing and ever-improving customer return-on-investment. Additionally, our team serves as liaisons between the customer and the GitLab ecosystem, streamlining collaboration with Product Management, Engineering, Sales, Professional Services, and others.  TAM handbook . Responsibilities Possess a deep understanding of creating customer value to deliver scalable customer engagements that help customers derive ongoing value from their investment with GitLab...

The GitLab DevOps platform  empowers 100,000+ organizations to deliver software faster and more efficiently. We are one of the  world’s largest all-remote companies with 2,000+ team members and values  that guide a culture where people embrace the belief that everyone can contribute. Solutions Architects are the trusted advisors to GitLab prospects and clients, showing how the GitLab solutions address client business requirements. Solutions Architects are responsible for driving and managing the technology evaluation and validation stages of the sales process. Solutions Architects are the product advocates for GitLab’s Enterprise Edition. They focus on the technical solution while also understanding the business outcomes the customer is trying to achieve. The Solutions Architect helps drive value and change with software development for one of the fastest-growing platforms. By applying solution selling and architecture experience from planning to monitoring, the Solutions...

The GitLab DevOps platform  empowers 100,000+ organizations to deliver software faster and more efficiently. We are one of the  world’s largest all-remote companies with 2,000+ team members and values  that guide a culture where people embrace the belief that everyone can contribute. Account Executive - Mid Market - France Responsibilities Account Executive, Mid-market (AE) will report to a VP of Commercial Sales Support GitLab for our  Mid Market  prospects. Contribute to root cause analyses on wins/losses. Communicate lessons learned to the team, including account managers, the marketing team, and the technical team. Take ownership of your book of business document the buying criteria document the buying process document next steps and owners ensure pipeline accuracy based on evidence and not hope Contribute to documenting improvements in our  sales handbook . Provide account leadership and direction in the pre- and post-sales process Be the...

Hiring Ranges: €40,000.00 EUR - €59,000.00 EUR   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 and research surrounding Internet Health issues. Represent Mozilla externally in publications, events, and policymaker...

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 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 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 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...

As an early member of Hugging’s Face’s Success team, you will help leading companies successfully use AI. Companies range from cutting-edge startups to Fortune-500 giants. On a typical day, you might be advising data science teams on best practices for building models, writing a Jupyter notebook to show off a new technique developed by our researchers, researching the best way to adapt models to a niche domain, or working on a technical blog post. Your technical ability and drive to help others are key. With that, you will help the most sophisticated customers unlock the value of AI. What you are expected to do: Empathize with our customers to understand their issues and goals when using transformers (NLP and Vision primarily). Have the scrappiness and be excited to solve customer problems through research, coding up a solution, or talking to our many in-house experts. Build meaningful relationships with our customers and understand their goals. Comfortably explain...

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. As an early member of Hugging’s Face Machine Learning Engineering Success team, you will play a critical role in driving successful technical engagements with prospects and customers and be an integral part of our overall enterprise sales process. You ask the right questions to quickly understand the customer's Machine Learning pain points and environment and articulate clearly and concisely the best possible technical solutions. You are curious and an avid learner. Most of all, you care about 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. 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 customers. About you You'll love working here if you have a passion for new technologies and data. You are excellent at building deep relationships with prospects and customers. What matters to you is helping them build their Data strategy and find the right solutions. You have experience closing deals...

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...

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 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, and collaborations with dozens of open-source groups and researchers. About the Role As a Machine Learning Advocate Engineer for Audio , 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 closely with the Open Source, Science, and Product teams. This is not a marketing position! Developer Advocacy at Hugging Face is deeply technical and having a generalist...