Research Intern
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Job Description
About company:
Gensyn is building a protocol to network together the core resources required for machine intelligence to flourish alongside human intelligence. They believe that machine intelligence, built within silicon, needs open, permissionless, and neutral protocols to coordinate and grow.
Job description:
This Research Intern role is focused on contributing to cutting-edge research in scalable, distributed machine learning systems. The intern will work alongside experienced researchers and engineers to explore new ways of building and verifying neural networks that operate across huge, decentralised topologies of heterogenous devices.
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 such as NeurIPS, ICML, and ICLR.
Competencies:
• Must Have:
• Currently enrolled in a PhD program (or, in exceptional cases, in a Master’s program) in Computer Science, Machine Learning, or a related field.
• Prior experience conducting original research, ideally with authorship or co-authorship on ML papers.
• Strong understanding of deep learning fundamentals and experience working with in at least one major framework, e.g. PyTorch, JAX, or TensorFlow.
• Self-directed, curious, and able to thrive in an environment with high autonomy.
• Excellent written and verbal communication skills.
• Preferred:
• Research experience in distributed systems, continual learning, or modular neural architectures.
• A desire to contribute to open research and collaborate with the broader ML research community.
• Nice to Have:
• Experience at the intersection of cryptography and machine learning.
