AI Research Engineer specializing in kernel and inference optimization for advanced AI systems at Tether. Driving innovation in model serving architectures with a global remote team.
About the role
- Researcher with a strong foundation in machine learning to investigate core scientific challenges of AI. Contributing to community-driven AI networks and engaging with global research community.
Responsibilities
- 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
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