AI Research Engineer
Summary
Designs and implements scalable AI systems, training/inference protocols, and distributed infrastructure to turn research into production-grade solutions.
- Build scalable AI workload systems
- Collaborate with researchers on system implementation
- Design AI training protocols
- Implement AI inference protocols
- Improve reliability engineering
- Maintain performance privacy and security
- Optimize AI system performance
- Stay current on AI distributed infrastructure and cryptography
- Translate research ideas into production systems