Remote Machine Learning Engineer Internship, WebML - US Remote

Description:

• Hugging Face is seeking a Machine Learning Engineer Intern for a remote position in the US.
• 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 working with open-source machine learning libraries such as transformers, diffusers, and datasets, which are primarily implemented in Python.
• The intern will work on projects like transformers.js, diffusers.js, and huggingface.js to bridge the gap between web development and machine learning.
• Responsibilities include converting and optimizing models for in-browser inference, enabling models to run in-browser at near-native speeds, building demo applications, and fostering a collaborative open-source community.
• The internship operates at the intersection of software engineering, machine learning, and open-source community building.
• By the end of the internship, the candidate will have gained experience in web machine learning and contributed to the Hugging Face ecosystem.

Requirements:

• Candidates should have a passion for open-source and a creative mindset.
• A strong interest in making complex technology accessible to engineers and artists is essential.
• While not all requirements need to be met, candidates should be eager to contribute to a fast-growing ML ecosystem.
• Hugging Face encourages applications from diverse backgrounds and experiences.

Benefits:

• Hugging Face values diversity, equity, and inclusivity in the workplace.
• The company offers reimbursement for relevant conferences, training, and education to support employee development.
• Flexible working hours and remote options are provided to ensure employee well-being.
• Employees have the opportunity to visit office spaces located around the world, especially in the US, Canada, and Europe.
• Workstations will be outfitted to ensure employees succeed in their roles.
• Employees can join a community that supports significant scientific advancements through collaboration in the ML/AI field.