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The role involves implementing and optimizing low-bandwidth model-parallel training systems for distributed language model development, enhancing an open AI ecosystem.

Develop high-performance distributed systems for AI model training, ensuring scalability, reliability, security, and privacy while optimizing network protocols and collaborating on open-source projects.

The Research Engineer role involves supporting ML training infrastructure, building tools, and managing varied engineering tasks. Candidates should demonstrate initiative and readiness to learn.

The role involves solving foundational research problems in Protocol Learning, publishing findings, and leveraging skills in distributed ML and PyTorch.

Contribute to research in Protocol Learning while pursuing a PhD, aiming for publication in top machine learning conferences. The role includes mentorship from senior scientists.

As a Senior Frontend Engineer, you will develop user-friendly, high-performance applications for decentralized model training, collaborating with cross-functional teams.