Research Intern

• Contribute to cutting-edge research in scalable, distributed machine learning systems alongside experienced researchers.
• Design and prototype novel neural network architectures for decentralized compute environments.
• Contribute to original research focusing on modular architectures, verifiability, continual learning, and scale.
• Collaborate on joint publications targeting top-tier AI venues such as NeurIPS, ICML, and ICLR.
• Communicate research findings effectively through written papers and verbal presentations.

This role advances scalable and distributed machine learning systems, contributing to technological progress in AI through innovative research and publications.

• Experience or strong interest in machine learning research and systems.
• Ability to design and prototype neural network architectures.
• Skills in contributing to original research with a focus on technical areas like modular architectures and verifiability.
• Capability to collaborate on publications for top AI conferences.
• Effective communication skills for research findings through papers and presentations.

No specific benefits, compensation, or perks mentioned in the provided description.

Gensyn focuses on cutting-edge research in scalable, distributed machine learning systems and decentralized compute environments.