ML Open Source Lead

Responsibilities

• Define and execute a vision for releasing open model weights, methodologies, and code.
• Oversee GitHub and Huggingface repositories.
• Champion open science by building open source demos (e.g. implementing LoRA fine-tuning for our models), writing technical blogs, answering questions from the community, and presenting at conferences.
• Partner with model providers, internal engineers, and external contributors to push AI accessibility forward.
• Convert internal, proprietary implementations into polished open-source code, ensuring quality, reproducibility, and ease of use for the community.

Requirements

• Advanced degree or equivalent research experience in Machine Learning or Deep Learning, or a related field.
• Uses personal and professional platforms to amplify open research initiatives and invite collaboration.
• Strong hands-on experience in Python and ML research libraries such as PyTorch, JAX, or TensorFlow.
• Familiarity with LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback).
• Experience publishing research or working on open-source projects in ML, computer vision, or NLP.
• Excellent communicator who enjoys engaging with the developer and open source community.
• Passion for open source projects and community-driven research/tooling.
• Great communication skills.
• Willing to dive into things quickly, pick up new tools from the open source community, and enjoys exploring new ideas.