About the vacancy
The role focuses on designing privacy-preserving architectures, infrastructure, and governance systems for AI training, inference, analytics, and data protection at scale. The engineer will help embed privacy controls into AI products and enable privacy-preserving development across engineering teams.
Responsibilities
- Design and implement privacy-preserving architectures for AI training and inference systems handling billions of conversations, leveraging differential privacy, federated learning, and secure multi-party computation
- Partner with AI researchers to implement privacy-preserving training methodologies that maintain model quality while protecting user data
- Build foundational privacy infrastructure including automated data discovery, classification, access controls, audit logging, and lifecycle management systems