Description:

Hugging Face is seeking an open-source Machine Learning Engineer to enhance the open-source machine learning ecosystem.
The role involves working with existing open-source libraries such as Transformers, Datasets, and Accelerate.
You will interact with users and contributors within the open-source machine learning community.
The position includes fostering an active machine learning community and assisting users in contributing to and utilizing the tools developed.
Daily interactions will occur with researchers, ML practitioners, and data scientists through platforms like GitHub, forums, and Slack.
Hugging Face values diversity, equity, and inclusivity, aiming to create a respectful and supportive workplace for all individuals.

Requirements:

A cover letter is required, detailing your interest in working in open-source at Hugging Face.
Candidates should mention their skills, potential expertise, and specific topics they wish to work on.
A passion for open-source and a desire to make complex technology more accessible are essential.
While not all qualifications need to be met, a willingness to contribute to a diverse team is encouraged.

Hugging Face offers flexible working hours and remote work options to support employee well-being.
Health, dental, and vision benefits are provided for employees and their dependents.
The company offers parental leave and flexible paid time off.
Employees receive reimbursement for relevant conferences, training, and education to promote professional development.
All employees are granted company equity as part of their compensation package, allowing them to share in the company's success.
Remote employees have the opportunity to visit office spaces in NYC and Paris, and the company will outfit workstations to ensure success.
Hugging Face supports collaboration within the ML/AI community, fostering scientific advancements through teamwork.