Description:

Hugging Face is seeking a Machine Learning Engineer Intern for a remote position in the US.
The role focuses on advancing machine learning accessibility and contributing to open-source technology.
The intern will work on projects like transformers.js, diffusers.js, and huggingface.js to bridge the gap between web development and machine learning.
The internship will involve creating and maintaining user-friendly JavaScript/TypeScript machine learning libraries.
Responsibilities include converting and optimizing models for in-browser inference, enabling models to run at near-native speeds, building demo applications, and fostering an open-source community.
The candidate will gain experience in web machine learning and contribute to one of the fastest-growing ML ecosystems.

Requirements:

A passion for open-source technology and a creative approach to making complex technology accessible.
Interest in contributing to the Hugging Face ecosystem and working with web developers.
Familiarity with machine learning concepts and web development technologies, particularly JavaScript and TypeScript.
Willingness to learn and adapt, even if not all qualifications are met.
A commitment to diversity, equity, and inclusivity in the workplace.

Hugging Face offers reimbursement for relevant conferences, training, and education to support employee development.
Flexible working hours and remote work options are provided to ensure employee well-being.
Employees have the opportunity to visit office spaces located around the world, particularly in the US, Canada, and Europe.
The company is committed to building a supportive community within the ML/AI field, fostering collaboration and scientific advancements.