Hugging Face

👥 51-200💰 $235,000,000 Series D over 1 year agoSoftware Development💼 Private Company
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Hugging Face is an open-source platform provider of machine learning technologies based in New York City. They are dedicated to democratizing good machine learning through their commitment to open-source development.

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📍 United States

🔍 Machine Learning and Artificial Intelligence

  • Experience in cutting-edge machine learning research.
  • Ability to experiment with different models.
  • Comfortable in a fast-paced and ambiguous environment.
  • Willingness to deeply understand technical domains.

  • Build and facilitate non-consortium-based research collaborations with researchers in non-AI scientific fields.
  • Co-build ML tools and models for scientific use cases.
  • Educate and engage the scientific community through tutorials and workshops.
  • Foster strategic partnerships and community research initiatives with academic institutions.

PythonData AnalysisData MiningMachine LearningPyTorchAlgorithmsTensorflow

Posted 8 days ago
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📍 France

🧭 Full-Time

🔍 Artificial Intelligence

  • You have done cutting-edge machine learning research and collaborated with research communities.
  • Generalist Research Engineer able to experiment with different models.
  • Comfortable working in a fast-paced and ambiguous environment.
  • Enjoy understanding technical domains deeply.

  • Build and facilitate non-consortium-based research collaborations with researchers in non-AI scientific fields.
  • Co-build ML tools and models for scientific use cases and publish pre-trained models or datasets.
  • Educate and engage with the scientific community through tutorials, workshops, and open-source contributions.
  • Foster strategic partnerships and community research initiatives with academic institutions and organizations.

PythonData AnalysisMachine LearningPyTorchTensorflowResearch

Posted 8 days ago
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📍 France

🧭 Internship

🔍 Machine Learning / AI

  • Experience using modern deep learning libraries and LLM APIs.
  • Understanding tradeoffs between different models and APIs.
  • Knowledge of how to fine-tune LLMs.
  • Ability to create retrieval-augmented generation pipelines.
  • Experience with re-rankers for two-stage retrieval.
  • Comfortable exploring and contributing to a codebase in Python and Svelte-flavored JavaScript.
  • Possess a 'product mindset' for experimenting with user interfaces.

  • Expand the effort to develop AI tools for Gradio.
  • Leverage ~500k Gradio spaces and user prompts to create a sophisticated model pipeline.
  • Help developers understand and write Gradio code effectively.

PythonMachine Learning

Posted 9 days ago
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📍 United States

🧭 Internship

🔍 Artificial Intelligence

  • Experience using modern deep learning libraries and LLM APIs with knowledge of model tradeoffs.
  • Ability to fine-tune LLMs, create retrieval-augmented generation pipelines, and implement re-rankers for two-stage retrieval.
  • Comfort with contributing to a codebase in Python and Svelte-flavored JavaScript.
  • Possess a product mindset, engaging in experimentation with user interface designs to aid a large user base.

  • Expand the effort to develop a suite of AI tools that assist users in understanding and writing Gradio code.
  • Utilize approximately 500k Gradio spaces and existing user prompts to create a sophisticated model pipeline.
  • Focus on aiding developers who depend on LLMs for coding assistance, ensuring these LLMs understand the context of Gradio.

PythonMachine Learning

Posted 9 days ago
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📍 France

🔍 Artificial Intelligence, Machine Learning

  • Enthusiastic about agents.
  • Generalist engineer with the ability to quickly pick up new frameworks and work across the stack.
  • Comfortable working in a fast-paced and ambiguous environment.
  • Excited to build for developers and empathize with their needs.
  • Willing to understand technical domains deeply.

  • Maintain and improve smolagents.
  • Build libraries and code around agents and GUI agents.
  • Prepare fine-tuning datasets, training recipes, and inference orchestration.
  • Leverage our large H100 cluster for large scale processing and model training.
  • Release code and models for community use, possibly as a new GUI agent framework and/or research papers.
  • Collaborate and empower the community to build on top of our tools.

DockerPythonMachine LearningPyTorchData engineeringData scienceTensorflowResearch

Posted 11 days ago
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📍 France

🧭 Full-Time

🔍 Machine Learning

  • Enthusiastic about technical challenges for ML-focused products.
  • Generalist and polyglot engineer, comfortable working across the stack (Typescript, Node.js, Svelte, MongoDB, AWS).
  • Ability to work in a fast-paced and ambiguous environment.
  • Strong product sense with experience building user-reliable products.
  • Deep understanding of technical domains and high sense of technical ownership.

  • Build essential tooling to interact with the Machine Learning Hub.
  • Support the development of features end-to-end.
  • Contribute as an early builder for a major platform shift in machine learning.

AWSNode.jsMachine LearningMongoDBTypeScript

Posted 13 days ago
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📍 France

🧭 Internship

🔍 Artificial Intelligence

  • Provide a cover letter mentioning your interest in open-source at Hugging Face.
  • Mention your skills, potential expertise, and topics you wish to work on.

  • Develop an online exporter tool to convert Hugging Face models for specific hardware platforms using Optimum.
  • Author comprehensive guides to assist users in deploying models on various hardware, including best practices.
  • Design a seamless user flow from traditional Hugging Face libraries to alternative hardware backends.
  • Conduct experiments across different hardware backends to identify their strengths and weaknesses and provide selection guidelines.
  • Collaborate with the Advocacy team to share findings through blog posts, tweets, and other channels.

PythonSoftware DevelopmentArtificial IntelligenceData AnalysisGitMachine LearningNumpyPyTorchCommunication SkillsAnalytical SkillsCollaborationProblem Solving

Posted about 1 month ago
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📍 United States

🧭 Internship

🔍 Machine Learning / Artificial Intelligence

  • Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face.
  • We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

  • During this internship, you will work specifically on agents that take screen recordings from any GUI and act through a mouse/keyboard setup.
  • You will improve the framework, prepare fine-tuning datasets, create training recipes, and manage inference orchestration.
  • You will leverage compute CPUs and H100 clusters for large-scale processing and model training.
  • The final code and model will be released for the community to build upon.

PythonSoftware DevelopmentArtificial IntelligenceData AnalysisGitJavaJavascriptMachine LearningNumpyPyTorchAlgorithmsData scienceGoPandasTensorflow

Posted about 1 month ago
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📍 France

🧭 Internship

🔍 Machine Learning / AI

  • Provide a cover letter detailing your interest in open-source at Hugging Face.
  • Mention your skills and areas of potential expertise.
  • Discuss the topics you would be interested to work on.

  • Work on agents that capture screen recordings from GUIs and interact via mouse/keyboard.
  • Improve the entire agent stack including framework enhancements.
  • Prepare fine-tuning datasets and training recipes.
  • Manage inference orchestration.
  • Utilize CPU and H100 clusters for large scale processing and model training.
  • Release code and models to benefit the community.

PythonSoftware DevelopmentArtificial IntelligenceData AnalysisGitJavaJavascriptMachine LearningNumpyPyTorchAlgorithmsData scienceGoPandasCommunication SkillsAnalytical SkillsCollaborationProblem Solving

Posted about 1 month ago
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📍 United States

🧭 Internship

🔍 Artificial Intelligence

  • Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face.
  • Mention your skills, potential expertise, and topics of interest.

  • Work specifically on agents capable of reasoning over data using code.
  • Handle the entire agent stack including preparation of fine-tuning datasets.
  • Develop training recipes and manage inference orchestration.
  • Utilize compute CPU and H100 clusters for large scale processing and model training.
  • Release full recipes and models for the community to build upon.

PythonSoftware DevelopmentArtificial IntelligenceData AnalysisGitKerasMachine LearningNumpyPyTorchAlgorithmsData scienceGoTensorflowProblem Solving

Posted about 2 months ago
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