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Ritual
Posted 142 days agoVerified live 9h ago

Research Intern

Brief overview

United StatesIn-person
Comfort with algebraic structuresComfort with distributed systemsComfort with mechanism designComfort with statistical modeling

About the company

Ritual is a reaction to the aforementioned issues.

Job description

Summary

Ritual is building a sovereign execution layer for AI, focusing on bridging crypto and AI technologies. They are seeking a Research Intern to prototype new mechanisms and collaborate with engineering and product teams to ensure real-world impact of their research.

Responsibilities

  • 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

Skills

  • 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

Qualifications

Must Haves

  • 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

Nice to Haves

  • 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

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