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| Job Position and Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|
Ritualđ New York, NY, United States | $45k - $60k | |||
| $32k - $86k | ||||
| $50k - $120k | ||||
| $50k - $120k | ||||
 ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
| $55k - $80k | ||||
| $72k - $150k | ||||
| $45k - $72k | ||||
| $80k - $64k | ||||
| $87k - $87k | ||||
| $73k - $93k | ||||
| $40k - $86k | ||||
| $45k - $72k | ||||
| $45k - $72k | ||||
| $32k - $86k | ||||
| $32k - $86k |
About Ritual
Ritual is building a sovereign layer for AI. Our first phase, Infernet, is the first product of its kind to enable developers to access models both on-chain via smart contracts and off-chain. Our next phase, the Ritual chain, will be a sovereign layer custom-built to support AI-native operations and enable a new class of applications at the intersection of crypto and AI.
About The Role
- 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