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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🔥 Growth Operations, Self-Serve Monetisation - EMEA Remote

Posted 18 days ago

📍 France

🔍 Artificial Intelligence / Machine Learning

🔧 Requirements

Graduated from a business or engineering school.
Proven track record in growth, business operations, or a related field in a fast-growing or startup-like company.
Solid tech-savvy understanding, complemented by business acumen.
Passion for continuous learning and innovation in growth strategies.
Strong ability to interpret data and derive actionable insights.
Experience in formulating business strategies to drive growth.
Excellent written and verbal communication skills for cross-functional collaboration.
A team-oriented approach with the ability to thrive in a dynamic environment.
A startup mindset, capable of thriving in fast-paced and evolving environments.
Bonus: Experience with SQL, Python, or other analytical tools; knowledge of APIs and integrations; prior experience in a high-growth AI/ML-driven company.

💡 Responsibilities

Develop and execute go-to-market strategies to acquire and retain customers, focusing on growth opportunities.
Analyze customer data and market trends to identify growth potential and inform business decisions.
Manage strategic partnerships and developer relations to expand our reach.
Collaborate with engineering teams to align operations with growth objectives.
Optimize operations to support scalability and efficiency.
Track and report on growth metrics to measure impact and guide strategic decisions.

PythonSQLData AnalysisMachine LearningAPI testingData visualization

Posted 18 days ago

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🔥 Technical Solution Engineer, Web Platform - EMEA Remote

Posted 18 days ago

📍 France

🔍 Artificial Intelligence, Machine Learning

🔧 Requirements

At least 2 years of full-stack software development experience with Javascript/Typescript/Node.js and Mongo.DB.
Ability to write clean code in multiple programming languages and read less well-written code.
Comfortable working autonomously with limited supervision.
Experience in explaining technical concepts to both technical and non-technical audiences.
Willingness to continuously learn about changing technical products.

💡 Responsibilities

Support customers through various channels, ensuring smooth integration of the Hugging Face Hub.
Maintain up-to-date knowledge of Hugging Face Hub features and codebase.
Develop and maintain documentation and usage examples for external users.
Support internal Hugging Face team members in using the Hub.
Assist non-technical support staff with advanced customer requests.

Node.jsFull Stack DevelopmentJavascriptMongoDBTypeScriptREST APIDocumentationDebugging

Posted 18 days ago

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🔥 Growth Operations, Self-Serve Monetisation - US Remote

Posted 20 days ago

📍 France

🔍 Machine Learning / Artificial Intelligence

🔧 Requirements

Graduated from a business or engineering school.
Proven track record in growth, business operations, or a related field in a fast-growing/start-up like company.
Solid tech savvy understanding, complemented by business acumen.
Passion for continuous learning and innovation in growth strategies.
Strong ability to interpret data and derive actionable insights.
Experience in formulating business strategies to drive growth.
Excellent written and verbal communication skills for cross-functional collaboration.
Team-oriented approach with the ability to thrive in a dynamic environment.
Startup mindset, with the ability to thrive in fast-paced and evolving environments.

💡 Responsibilities

Develop and execute go-to-market strategies to acquire and retain customers, focusing on growth opportunities.
Analyze customer data and market trends to identify growth potential and inform business decisions.
Manage strategic partnerships and developer relations, fostering collaborations that expand our reach.
Collaborate with our engineering teams to align operations with growth objectives.
Optimize our operations to support scalability and efficiency.
Track and report on growth metrics to measure impact and guide strategic decisions.

PythonSQLData AnalysisMachine Learning

Posted 20 days ago

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🔥 Technical Solution Engineer, Web Platform - US Remote

Posted 20 days ago

📍 United States

🧭 Full-Time

🔍 Artificial Intelligence

🔧 Requirements

2 years of full-stack software development experience
Familiarity with Javascript/Typescript/Node.js and Mongo.DB
Ability to read and write clean code
Experience explaining technical concepts to varied audiences

💡 Responsibilities

Support customers through various channels
Maintain knowledge of Hugging Face Hub features
Develop and maintain documentation
Assist internal team with advanced support requests

Node.jsSoftware DevelopmentFull Stack DevelopmentJavascriptMongoDBTypeScriptTechnical supportDebugging

Posted 20 days ago

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🔥 Model Addition Engineer - Audio - EMEA Remote

Posted 28 days 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 28 days ago

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

Posted about 1 month 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 about 1 month ago

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🔥 Machine Learning Engineer Internship, Gradio - EMEA Remote

Posted about 1 month 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 about 1 month ago

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🔥 Machine Learning Engineer Internship, Gradio - US Remote

Posted about 1 month 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

💡 Responsibilities

Expand efforts on AI tools to help users quickly understand and write Gradio code
Build a sophisticated model pipeline
Leverage ~500k Gradio spaces and thousands of existing prompts

PythonMachine Learning

Posted about 1 month ago

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🔥 ML Research Engineer, AI Agents - EMEA Remote

Posted about 1 month ago

📍 France

🔍 Artificial Intelligence, Machine Learning

🔧 Requirements

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.

💡 Responsibilities

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 about 1 month ago

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🔥 ML Research Engineer Internship, GUI Agents - US Remote

Posted 2 months ago

📍 United States

🧭 Internship

🔍 Machine Learning / Artificial Intelligence

🔧 Requirements

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.

💡 Responsibilities

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 2 months ago

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