Hugging Face

👥 51-200💰 $235,000,000 Series D almost 2 years 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, WebML - US Remote

Posted 15 days ago

📍 United States

🔍 Software Development

🔧 Requirements

Experience in open source community management
Experience with ONNX, quantization
Experience with WebGPU, WebNN, WASM
Experience with JavaScript/web technologies

💡 Responsibilities

Create and maintain easy-to-use JS/TS machine learning libraries

Frontend DevelopmentJavascriptMachine LearningTypeScriptAxiosWebRTCNodeJS

Posted 15 days ago

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🔥 Machine Learning Engineer, Audio/Speech Recognition - EMEA Remote

Posted 4 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 4 months ago

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🔥 Cloud Machine Learning Engineer - US remote

Posted 8 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 8 months ago

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🔥 Open-Source Machine Learning Engineer - International Remote

Posted 8 months ago

📍 United States

🔍 Machine Learning

🔧 Requirements

If you love open-source and are passionate about making complex technology more accessible, we encourage you to apply.
We're building a diverse team whose skills, experiences, and background complement one another.

💡 Responsibilities

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.
You will interact with users and contributors of the broad open-source machine learning ecosystem.
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 through GitHub, forums, or slack.

PythonSoftware DevelopmentArtificial IntelligenceData AnalysisData MiningGitKerasMachine LearningNLTKNumpyPyTorchAlgorithmsData scienceGoPandasTensorflow

Posted 8 months ago

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🔥 Machine Learning Engineer, Fast Optimized Inference - US Remote

Posted 8 months ago

📍 United States

🔍 Machine Learning / Artificial Intelligence

🔧 Requirements

Proficient with Python, Rust and specialized Cuda kernels.
Experience with transformers frameworks such as Keras or PyTorch.

💡 Responsibilities

Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to text-generation-inference.
Utilize existing library frameworks to create scalable software solutions for industrial purposes.
Enhance the reliability, quality, and time-to-market of our software suite.
Measure and optimize system performance to stay ahead of customer needs and drive innovation.
Manage the production environment by monitoring availability and ensuring overall system health.

PythonArtificial IntelligenceKerasMachine LearningPyTorchRustCollaboration

Posted 8 months ago

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