Researcher, Safety & Privacy

Responsibilities

• Design and implement privacy-first architectures for detecting and mitigating harmful model behaviors
• Build frameworks for auditable private identification of high-risk content, such as jailbreaks, cyber threats, or weaponization instructions
• Develop strict, auditable mechanisms triggered only by specific harm signals
• Drive the development of automated safety systems that preserve privacy at every level of the stack

Requirements

• PhD or equivalent experience in Computer Science, Cryptography, Security, Machine Learning, or a related field
• Proficiency in privacy-preserving computation (e.g., MPC, differential privacy, or secure enclaves)
• Deep understanding of security and adversarial systems
• Experience with machine learning safety, alignment, or jailbreak detection
• Ability to translate ambiguous problem spaces into formal frameworks and deployable systems

Preferred Qualifications

• Experience designing robust systems under adversarial threat models
• Familiarity with privacy-preserving machine learning techniques and algorithmic auditing
• Experience with secure system design

Benefits

• Competitive salary ($295K – $445K) and generous equity
• Comprehensive medical, dental, and vision insurance
• 401(k) retirement plan with employer match
• Flexible PTO and paid parental leave
• Daily meals in the office and mental health support
• Annual learning and development stipend

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of AI capabilities and seek to safely deploy them to the world through our products.