Description:

Hugging Face is seeking a Machine Learning Engineer Intern for the WebML team, operating remotely in the EMEA region.
The role focuses on expanding the Hugging Face ecosystem to web developers by creating and maintaining user-friendly JavaScript/TypeScript machine learning libraries.
The internship will involve converting and optimizing models for in-browser inference using technologies like ONNX and quantization.
Interns will enable models to run in-browser at near-native speeds utilizing WebGPU, WebNN, and WASM.
The position includes building demo applications to showcase new features and fostering a collaborative open-source community.
Candidates will gain experience in web machine learning and contribute to making complex technology more accessible to engineers and artists.

Requirements:

Candidates should have a passion for open-source and a creative mindset.
A strong interest in making complex technology accessible to a broader audience is essential.
While not all qualifications are mandatory, applicants should be eager to contribute to the Hugging Face ecosystem.
A commitment to diversity, equity, and inclusivity in the workplace is expected.

Hugging Face offers flexible working hours and remote work options to support employee well-being.
The company provides reimbursement for relevant conferences, training, and education to promote professional development.
Employees have the opportunity to visit office spaces located around the world, particularly in the US, Canada, and Europe.
Hugging Face fosters a community that supports collaboration within the ML/AI field, emphasizing the importance of teamwork in scientific advancements.