AI Researcher

The role

You will conduct original research on learning, distributed inference, and trustless collaboration in AI systems. You will work with engineers to translate theoretical insights into practical designs and prototype experimental systems.

What you will do

• Conduct original research on learning, distributed inference, and trustless collaboration in AI systems
• Contribute to the design of incentive mechanisms that support open and community-driven AI networks
• Prototype experimental systems and communicate findings internally and externally
• Translate theoretical insights into practical designs with engineering collaborators
• Engage with the global research community in AI, ML systems, and applied cryptography

Required qualifications

• Background in computer science, machine learning, applied mathematics, or a related field
• Demonstrated research experience in distributed ML, secure computation, federated learning, or incentive systems
• Ability to write clear technical documentation and communicate complex ideas effectively

Nice to have

• experience with protocols
• zero-knowledge proof systems
• system-level AI optimization

About the company

Gradient is building the world’s first fully AI runtime, a sovereign, peer-powered infrastructure. They recently completed a $10M seed funding round led by Pantera Capital and Multicoin Capital.