.jpg)
.jpeg)
Share this Job
About the Organisation
Hugging Face is a leading AI company dedicated to democratizing good AI. With a platform trusted by over 5 million users and 100,000 organizations, Hugging Face is the world’s fastest-growing AI platform. The company is best known for its contributions to the open-source AI community, having developed widely adopted libraries like Transformers, Datasets, and Accelerate. With over 400,000 GitHub stars, the organization is at the forefront of making machine learning more accessible, inclusive, and collaborative.
Open-Source Machine Learning Engineer job at Hugging Face | Apply Now
Remote, OR, USA
Are you looking for Remote Software Engineering jobs in 2025 today? then you might be interested in Open-Source Machine Learning Engineer job at Hugging Face
Full Time
Deadline:
31 May 2025
Job Title
Open-Source Machine Learning Engineer job at Hugging Face
Hugging Face
Job Description
As an Open-Source Machine Learning Engineer at Hugging Face, you will improve the machine learning ecosystem by working with top open-source libraries including Transformers, Datasets, and Accelerate. Your work will involve developing features, resolving issues, and engaging with a global community of ML researchers, practitioners, and developers. You'll also help users contribute to and utilize Hugging Face tools effectively. The role is designed to align your interests with impactful projects, fostering a collaborative and mission-driven environment.
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
ONLINE APPLICATION ONLY!
Interested candidates are advised that applications for this position must be submitted online. To apply, please click on the "Apply" button below.
Applications are managed via the AfriCareers Jobs Portal:
-
Click the Apply button below
-
New users: Select Create Profile and complete the Profile Creation Wizard
-
Existing users: Log in and update your profile if needed
-
Go to the "Jobs" tab
-
Read the detailed job description, Roles and Qualifications.
-
Submit your application via the jobs portal
-
Track progress under "My Applications" tab
Important Note: Employers now hire directly on the AfriCareers New Jobs Portal — keep your profile updated so employers can easily view your CV and hire you instantly.
How to Apply
Develop and improve open-source machine learning libraries (e.g., Transformers, Datasets, Accelerate)
Engage with and support the ML/AI open-source community
Collaborate with internal teams and external contributors on impactful AI tools
Support users via GitHub, Slack, and community forums
Advocate for accessible and inclusive AI practices
Contribute to documentation, tutorials, and best practices to increase adoption and understanding of Hugging Face libraries
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
Passion for open-source and machine learning
Strong software engineering skills and familiarity with Python
Experience contributing to or using open-source ML libraries
Excellent communication and community engagement skills
Familiarity with Hugging Face libraries is a plus
Self-driven, impact-oriented, and collaborative mindset
Willingness to learn and grow in a diverse team
Cover letter required explaining your interest in open-source work and relevant skills/topics
