Description:

Hugging Face is seeking a Machine Learning Engineer Intern for the Information Retrieval team, with a focus on advancing good Machine Learning and making it more accessible.
The role involves implementing an existing neural sparse model architecture and a matching trainer into the Sentence Transformers library, prioritizing ease of use.
The internship aims to address the lack of accessible solutions for training or fine-tuning neural sparse models, combining both semantic and lexical search methodologies.
The company values diversity, equity, and inclusivity, and encourages applications from individuals with varied backgrounds and experiences.

Requirements:

Candidates should have a passion for open-source technology and a creative mindset.
A strong interest in making complex technology more accessible to engineers and artists is essential.
While not all qualifications are mandatory, applicants should be eager to contribute to a fast-growing ML ecosystem.
Hugging Face encourages applications from diverse candidates and values the unique skills and experiences they bring.

Employees will have the opportunity to work with some of the smartest people in the industry and will be supported in their professional development through reimbursement for relevant conferences, training, and education.
The company offers flexible working hours and remote work options, ensuring support for employees regardless of their location.
Remote employees have the chance to visit office spaces around the world, and the company will provide necessary equipment to ensure a successful workstation setup.
Hugging Face fosters a community that supports collaboration and significant scientific advancements in the ML/AI field.