Remote Open-Source Machine Learning Engineer - International Remote

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.

Benefits:

• 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.