Research Intern
Core
Conducting original research in scalable, distributed machine learning systems and neural network architectures for decentralized compute environments.
Role type
Research Intern (Deep Learning & Distributed Systems)
Builds
Novel neural network architectures and research contributions for decentralized machine intelligence.
Domain
Artificial Intelligence / Machine Learning / Distributed Systems
Deliverable
research
Required skills
Deep learning fundamentals, PyTorch/JAX/TensorFlow, original research experience, modular architectures, verifiability, continual learning
Preferred skills
Distributed systems, cryptography and machine learning intersection
Technologies
PyTorch, JAX, TensorFlow
Responsibilities
Design and prototype novel neural network architectures for decentralized compute environments; Contribute to joint publications targeting top-tier AI venues (NeurIPS, ICML, ICLR); Explore new ways of building and verifying neural networks across huge, decentralized topologies.
Seniority
Intern (PhD/Master's level)