Junior Embedded AI Platform Security Engineer

Role Overview

Join our Innovation Team to develop forward-looking solutions for AI security and machine learning. Define strategies and implement solutions for protecting ML models and sensitive data during deployment.

What You Will Do

Design and implement model obfuscation and secure packaging techniques, develop IP protection strategies, enable secure execution environments for customer models using TEEs, and assess and mitigate adversarial ML threats.

Why It Might Be a Fit

Required skills include a background in Computer Science, Cybersecurity, or Cryptography, and a strong interest in applied ML, or a background in Machine Learning and an interest in cybersecurity.

Requirements

• background in Computer Science, Cybersecurity, or Cryptography
• strong interest in applied ML
• background in Machine Learning and an 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