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Researcher, Safety & Privacy

San Francisco💼 Full-time🗓 2026-04-07 → 2026-07-31

Core

Design and build privacy-preserving safety systems for frontier AI models to detect and mitigate harms like jailbreaks and weaponization instructions without exposing user data.

Role type

Researcher, Privacy-Preserving Safety

Builds

Automated privacy-preserving safety systems and auditable frameworks for harm detection

Domain

AI Safety, Cryptography, Security, Privacy

Deliverable

production ML models

Required skills

Privacy-preserving computation (MPC, secure enclaves, differential privacy), Security and adversarial systems, Machine learning safety or alignment, Algorithmic auditing, Secure system design

Preferred skills

AI safety, jailbreak detection, model alignment, Privacy-preserving machine learning techniques

Technologies

MPC, secure enclaves, differential privacy

Responsibilities

Design and implement privacy-first architectures for detecting harmful model behaviors, Build frameworks for auditable private identification of high-risk content, Develop strict, auditable mechanisms triggered by harm signals, Drive development of automated safety systems that preserve privacy

Seniority

Senior, hands-on IC

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