ML Model Security & Privacy Architect(m/w/x)

Requirements

• Background in Computer Science, Cybersecurity, or Cryptography
• Background in Machine Learning and interest in cybersecurity
• Knowledge of model protection techniques and IP security
• Familiarity with adversarial ML attacks and defenses
• Understanding of TEEs and secure enclaves
• Knowledge of privacy-preserving ML concepts
• Awareness of regulatory frameworks for AI security and privacy

Tasks

• Define strategies for protecting ML models and sensitive data
• Implement solutions for IP protection and privacy-preserving inference
• Design model obfuscation techniques
• Develop secure packaging methods
• Enable secure execution environments using TEEs
• Assess adversarial ML threats and mitigate risks
• Define mechanisms for privacy-preserving inference
• Advise on compliance with AI security and privacy regulations

Education

Languages