The ML Security Research Scientist role at Apple focuses on applied security research for production machine learning systems, particularly in agentic and tool-using models. The position is part of the Security Engineering & Architecture organization, which aims to protect billions of users by integrating security into Apple's products and services. The scientist will lead original research to identify real vulnerabilities and drive secure design into shipping products. The impact of this role will be measured by risk reduction in production systems.

• 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, with an emphasis on reproducibility and operational relevance.
• Experience researching or securing LLM-based or tool-augmented ML systems.
• Ability to work fluidly across research, engineering, and security review processes.
• Track record of influencing production systems through research-driven insights.

• Lead original security research on agentic ML systems deployed at scale.
• Identify real vulnerabilities in tool-using models and design adversarial evaluations.
• Translate research findings into architectural decisions and launch requirements.
• Drive mitigations that integrate cleanly into Apple’s ML platforms and products.
• Conduct research grounded in real system behavior and implement concrete design changes.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.