Open-Source Machine Learning Engineer

Role Overview

Contribute to the development of major open-source machine learning libraries and frameworks, working in a distributed, global environment with a strong focus on transparency, collaboration, and technical excellence.

What You Will Do

Design and implement high-quality library code, collaborate with contributors and users, improve deep learning frameworks and tooling, and participate in technical discussions to shape the evolution of open-source projects.

Why It Might Be a Fit

This role is ideal for someone passionate about open-source innovation, deep learning systems, and building tools that empower the broader AI community, with a strong understanding of distributed collaboration workflows and asynchronous communication practices.

Requirements

• Strong proficiency in Python
• Solid hands-on experience with deep learning frameworks (PyTorch, JAX, or TensorFlow)
• Familiarity with modern machine learning concepts (transformer architectures, large-scale model training)
• Demonstrated experience contributing to open-source projects on GitHub
• Experience working with or within the Hugging Face ecosystem or similar ML libraries
• Ability to collaborate effectively in open-source environments
• Strong understanding of distributed collaboration workflows and asynchronous communication practices
• Excellent written English skills for technical documentation and global collaboration

Benefits

• Competitive compensation package with equity participation opportunities
• Fully remote role with flexible working arrangements
• Opportunity to work on globally adopted open-source ML tools
• Strong culture of learning, research collaboration, and continuous technical development
• Access to conferences, training, and professional development support
• Flexible working hours and generous time-off policies
• Collaborative, inclusive, and globally distributed engineering culture
• Opportunity to influence the direction of major machine learning frameworks and tools
• Work alongside leading contributors in the open-source AI and ML ecosystem