The Research Intern will prototype and productionize research mechanisms in AI and cryptography, collaborating with engineering to impact real-world applications.
About Ritual
About the role Ritual is building a sovereign, execution layer for AI, with our private testnet already live and running. The Ritual chain is the first blockchain custom-built to support AI-native operations, designed from the ground up to enable a new class of applications at the intersection of crypto and AI. Our first product, Infernet, is pioneering new ground as the first solution to enable developers to access AI models both on-chain via smart contracts and off-chain, demonstrating our commitment to bridging these transformative technologies.
- Prototype new mechanisms, then work to productionize your research
- Work at the frontier of modern cryptographic schemes and open-source AI
- Collaborate closely with our engineering and product team to ensure your research has real-world impact
- Release your work into the open-source world and build alongside the Ritual community
- Intellectually curious about the latest advancements in machine learning, cryptography, and how they intersect
- Desire to see your research go beyond academic papers and have a tangible impact
- Experience with taking research projects or experiments from ideation to prototype code, or implementation either on your own or coordinating with engineering teams
- Quick iteration and development cycles on writing and/or proof-of-concept
- Bonus points if you have existing research or writing in conferences or journals
- Have some level of comfort with algebraic structures, distributed systems, mechanism design, or statistical modeling
- Join a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure hardened by cryptographic schemes
- We work completely in open-source and ship weekly
- Maximize your knowledge gradient around fields that typically would not intersect
We’re open to exceptional people of all backgrounds for research (e.g. high school, undergraduate and graduate degrees).
Top Skills
Cryptography
Distributed Systems
Machine Learning
Statistical Modeling
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