Solving the issue of machine intelligence knowledge-keeping and creation by developing open, permissionless, and neutral protocols.
Requirements
- Strong understanding of deep learning fundamentals
- Experience working with at least one major framework (e.g. PyTorch, JAX, or TensorFlow)
- Prior experience conducting original research, ideally with authorship or co-authorship on ML papers
- Research experience in distributed systems, continual learning, or modular neural architectures (preferred)
- Experience at the intersection of cryptography and machine learning (nice to have)
Responsibilities
- Contribute to original research in deep learning with a focus on modular architectures, verifiability, continual learning, and scale
- Design and prototype novel neural network architectures for decentralized compute environments
- Contribute to joint publications and projects in collaboration with academic and industry researchers targeting top-tier AI venues
Other
- Currently enrolled in a PhD program (or, in exceptional cases, in a Master’s program) in Computer Science, Machine Learning, or a related field
- Self-directed, curious, and able to thrive in an environment with high autonomy
- Excellent written and verbal communication skills
- Visa sponsorship available for those who would like to relocate to the US after being hired
