249 remote jobs

Na posição de ANALISTA DE BACKOFFICE JR, você irá atuar no time de Comercial Service. Principais responsabilidades: Gestão de projetos atuando junto com os times dos países LA e Alemanha; Analise de dados para novas oportunidades; Melhoria de processos; Interface constante com países LA e Alemanha; Elaboração e gestão de KPI´s. . Qualificações Superior Completo em Administração de Empresas, Economia, Marketing e afins; Inglês avançado mandatório; Espanhol avançado mandatório; Pacote Office Avançado; Conhecimento no sistema SAP; Boas habilidades em Power BI; Experiência com gestão de projetos. Informações adicionais Prazo de candidatura: Até 27/09/2023 Área contratante: SO/OPM-CS24-BR Colaboradores Bosch: recomendamos comunicar seu gestor após candidatura. Não contratamos menores de 16 anos e somos contra trabalho infantil! Vaga elegível para pessoas com deficiência ou reabilitadas; Caso esta vaga seja elegível ao trabalho remoto, a...

As a Software Analyst in our ADAS/AD middleware integration team, you will play a crucial role in bridging the gap between developers and business stakeholders, in order to ensure the successful delivery of high-quality software to major automotive manufacturers. You will have the following responsibilities: Understanding and analysing project requirements, and clarifying customer needs Refining work items and writing technical specifications to support the work of developers Proposing technical solutions for product features and proof-of-concept demonstrators Reviewing software designs, code and tests to ensure quality and consistency Supporting the Product Owner and Team Architect in steering the technical work of a cross-functional Agile team Qualifications Good understanding of the software development lifecycle, ideally as a former developer Good working knowledge of C++ and Linux Strong analytic abilities Ability to suggest a clear and consistent technical...

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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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 UI Engineer , 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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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...

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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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 We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies....

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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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 We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies....

Founding Decentralized ML Research Engineer Hugging Face 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 more than 500K+ models and 250K+ stars on GitHub, over 15,000 companies are using Hugging Face’s tools in production, including leading AI organizations such as Google, Microsoft, Elastic, Salesforce, Grammarly, and NASA. About the Role This is a new team at Hugging Face and you will be joining as the founding ML engineer. This will come with leadership responsibilities and helping the team grow over time. As a Decentralized Machine Learning Research Engineer, you will be collaborating with open-source communities while doing impactful machine learning research. You’ll be responsible for establishing collaborations with researchers,...

Founding Decentralized ML Research Engineer Hugging Face 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 more than 500K+ models and 250K+ stars on GitHub, over 15,000 companies are using Hugging Face’s tools in production, including leading AI organizations such as Google, Microsoft, Elastic, Salesforce, Grammarly, and NASA. About the Role This is a new team at Hugging Face and you will be joining as the founding ML engineer. This will come with leadership responsibilities and helping the team grow over time. As a Decentralized Machine Learning Research Engineer, you will be collaborating with open-source communities while doing impactful machine learning research. You’ll be responsible for establishing collaborations with researchers,...

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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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...

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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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 engineer, 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, and data scientists on a...

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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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 Ops Engineer, you work mainly to empower our users with a rich feature set, high availability, and stellar performance level to pursue their journey. We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a progressive, nimble and decentralized approach to develop real-world solutions and positive user experiences at every interaction. Objectives of this role : Build software 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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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 Ops Engineer, you work mainly to empower our users with a rich feature set, high availability, and stellar performance level to pursue their journey. We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a progressive, nimble and decentralized approach to develop real-world solutions and positive user experiences at every interaction. Objectives of this role : Build software 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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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, you will work to improve the open-source machine learning ecosystem. You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. 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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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’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....

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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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’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....

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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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’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....

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 more than 500K+ models and 250K+ stars on GitHub, over 15.000 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...