Hugging Face

👥 51-200💰 $235,000,000 Series D over 1 year agoSoftware Development💼 Private Company

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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Jobs at this company:

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🔥 Machine Learning Engineer Internship, WebML - EMEA Remote

Posted 19 days ago

📍 France

🧭 Internship

🔍 Software Development

🔧 Requirements

Experience with WebGPU, WebNN, and WASM
Familiarity with ONNX and quantization

💡 Responsibilities

Converting and optimizing models for in-browser inference
Enabling models to run in-browser at near-native speeds
Building demo applications
Fostering a collaborative open-source community

PythonFrontend DevelopmentGitJavascriptMachine LearningNumpyOpenCVPyTorchReact.jsTypeScriptAlgorithmsData StructuresREST APITensorflowWeb3.jsCI/CDRESTful APIsNodeJSSoftware Engineering

Posted 19 days ago

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🔥 Technical Solution Engineer, Web Platform - US Remote

Posted 2 months ago

📍 United States

🧭 Full-Time

🔍 Machine Learning

🔧 Requirements

2 years of full-stack software development experience with Javascript/Typescript/Node.js and Mongo.DB technologies

💡 Responsibilities

Support customers through various channels
Maintain up-to-date knowledge of Hugging Face Hub features
Develop and maintain documentation
Support internal use of the Hub
Assist non-technical members of the HF support team

Node.jsSoftware DevelopmentFull Stack DevelopmentJavascriptMongoDBTypeScriptTechnical supportDebugging

Posted 2 months ago

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🔥 Model Addition Engineer - Audio - EMEA Remote

Posted 2 months ago

📍 France

🔍 Machine Learning / Artificial Intelligence

🔧 Requirements

Passionate about open-source and new technologies in text-to-speech and speech-to-text.
Industry experience in speech recognition, speaker diarization, dialogue systems, or text-to-speech is advantageous.
Diverse backgrounds are valued; applicants are encouraged even if they don't meet every requirement.

💡 Responsibilities

Make cutting-edge speech-to-text and text-to-speech technologies more accessible to the open-source community.
Work on existing open-source libraries like Transformers to boost support for various audio technologies.
Lead the creation of novel open-source libraries for machine learning in audio.
Engage and foster an active machine learning community.

PythonMachine LearningPyTorchTensorflow

Posted 2 months ago

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🔥 Community ML Research Engineer, non-AI scientific fields - US Remote

Posted 3 months ago

📍 United States

🔍 Machine Learning and Artificial Intelligence

🔧 Requirements

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.

💡 Responsibilities

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 3 months ago

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🔥 Community ML Research Engineer, non-AI scientific fields - EMEA Remote

Posted 3 months ago

📍 France

🧭 Full-Time

🔍 Artificial Intelligence

🔧 Requirements

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.

💡 Responsibilities

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 3 months ago

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🔥 Machine Learning Engineer Internship, Gradio - EMEA Remote

Posted 3 months ago

📍 France

🧭 Internship

🔍 Machine Learning / AI

🔧 Requirements

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.

💡 Responsibilities

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 3 months ago

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🔥 Machine Learning Engineer Internship, Gradio - US Remote

Posted 3 months ago

📍 United States

🧭 Internship

🔍 Software Development

🔧 Requirements

Experience using modern deep learning libraries and LLM APIs.
Knowledge of how to fine-tune LLMs, create retrieval-augmented generation pipelines, and use re-rankers for two-stage retrieval.
Comfortable exploring and contributing to a codebase consisting of Python and Svelte-flavored JavaScript.
Have a “product mindset”

💡 Responsibilities

Expand AI tools to help users quickly understand and write Gradio code.
Build a sophisticated model pipeline with the proper context of how Gradio works.

PythonMachine Learning

Posted 3 months ago

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🔥 ML Research Engineer Internship, Agent AI - EMEA Remote

Posted 4 months ago

📍 United States

🧭 Internship

🔍 Artificial Intelligence

🔧 Requirements

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.

💡 Responsibilities

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 4 months ago

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🔥 ML Research Engineer Internship, Agent AI - US Remote

Posted 4 months ago

📍 United States

🧭 Internship

🔍 Machine Learning / Artificial Intelligence

🔧 Requirements

Provide a cover letter mentioning why you would like to work in open-source at Hugging Face.
Encourage mentioning skills, potential expertise, and topics of interest.

💡 Responsibilities

Work specifically on agents that can reason over data using code.
Involve in the whole agent stack including preparing fine-tuning datasets, training recipes, and inference orchestration.
Leverage compute CPU and H100 clusters for large scale processing and model training.
Release the full recipe and model serving for community use.

PythonSoftware DevelopmentArtificial IntelligenceData AnalysisGitMachine LearningNumpyPyTorchAlgorithmsData scienceGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationDocumentation

Posted 4 months ago

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🔥 Cloud Machine Learning Engineer - US remote

Posted 6 months ago

📍 United States

🔍 Machine Learning

🔧 Requirements

Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets.
Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding.
Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents.
Experience in building MLOps pipelines for containerizing models and solutions with Docker.
Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful.
Ability to write clear documentation, examples and definition and work across the full product development lifecycle.

💡 Responsibilities

Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider.
Ensuring the above models meet the expected performance.
Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users.
Write technical documentation, examples and notebooks to demonstrate new features.
Sharing & Advocating your work and the results with the community.

AWSDockerGCPKubernetesMachine LearningMongoDBPyTorchProduct DevelopmentAzureCollaboration

Posted 6 months ago

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