AI Researcher
Gradient
full-time
Posted on:
Location Type: Remote
Location: Anywhere in the World
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About the role
- 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
Requirements
- 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
- Bonus: experience with protocols, zero-knowledge proof systems, or system-level AI optimization
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
machine learningapplied mathematicsdistributed machine learningsecure computationfederated learningincentive systemszero-knowledge proof systemssystem-level AI optimization
Soft Skills
clear technical documentationcommunication of complex ideas