Apple
Research Scientist, Applied Machine Learning Security (Agent Systems), SEAR
$185K–$278K
Cupertino, California · Full-time · Posted Sep 9, 2026
- Education
- Ph.D. or equivalent experience in machine learning, security, systems, or a related field.
About the job
Conduct applied security research on production agentic ML systems and turn findings into defenses, security requirements, and release criteria for Apple products.
What you'll do
- Research vulnerabilities in agentic systems and develop defenses validated under production constraints.
- Build adversarial testing frameworks and threat models for agent deployments.
- Partner with engineering and security teams to integrate mitigations into shipping systems and guide reviews and releases.
What they ask for
- Ph.D. or equivalent experience in machine learning, security, systems, or a related field.
- Demonstrated experience in applied ML security, adversarial ML, or systems security with real-world impact.
- Strong experimental and engineering skills, emphasizing reproducibility and operational relevance.
Nice to have
- Experience researching or securing LLM-based or tool-augmented ML systems.
- Ability to work across research, engineering, and security review processes; track record of influencing production systems through research.
Pay
USD $184,700 to $277,600 base salary
Tools
ML, APIs, LLM
AI focus
Applied security research for production agentic and tool-using ML systems, including vulnerability discovery, adversarial evaluation, threat modeling, and production defenses.
Model-written summary · the original posting is authoritative