Cambridge Internship Program Azure Research, Security and Privacy
Core
Designing and building confidential computing platforms, low-level systems, secure multi-user AI inference, and fault-tolerant protocols.
Role type
Research intern (security, safety, privacy, systems)
Builds
Confidential computing platforms, distributed systems, secure AI inference protocols
Domain
Security, safety, privacy, distributed systems, AI
Deliverable
production ML models
Required skills
Confidential computing, distributed systems, secure multi-user AI inference, fault-tolerant protocols, security research, safety analysis, privacy engineering
Preferred skills
PhD in progress, outstanding undergraduate/master's with research experience, publications at top security conferences (USENIX, CCS, S&P, NDSS) or top ML/systems/architecture/language venues (NeurIPS, ICML, ICLR, SOSP, OSDI, ISCA, PLDI)
Technologies
Confidential computing frameworks, distributed system frameworks, secure AI inference stacks
Responsibilities
Design and build confidential computing platforms and low-level systems; propose, explore, and analyze new ideas in security, safety, and privacy; build prototypes for new ideas or contribute to existing projects; communicate research findings through technical discussions, presentations, papers, or other research outputs
Seniority
Intern
