The AI/ML Security Engineer role combines technical expertise with strategic leadership to secure artificial intelligence and machine learning systems. This position requires a deep understanding of security challenges in AI/ML while effectively communicating risks and solutions to various stakeholders. The engineer will shape security strategies on a global scale and foster collaboration across teams. The role also emphasizes professional development and a commitment to inclusive leadership.

• 7+ years of experience in cybersecurity with 4+ years specifically in AI/ML security
• Proven track record of leading both technical teams and cross-functional business initiatives
• Deep understanding of machine learning security threats such as adversarial ML and data poisoning
• Experience with secure cloud architectures and containerization technologies like Kubernetes and Docker
• Strong background in at least two programming languages such as Python, Swift, or C++
• Experience with ML frameworks like TensorFlow and PyTorch from a security perspective
• Demonstrated ability to communicate technical concepts to non-technical stakeholders
• Experience with regulatory compliance in AI/ML contexts including GDPR and CCPA
• Advanced degree in Computer Science, Cybersecurity, or a related technical field
• Experience with differential privacy, federated learning, or other privacy-preserving ML techniques
• Background in threat modeling and security architecture design
• Familiarity with accessibility considerations in AI/ML systems

• Design and implement comprehensive security frameworks for AI/ML pipelines from data ingestion through model deployment
• Conduct security assessments of machine learning deployments to identify vulnerabilities
• Develop automated security testing and monitoring solutions for AI/ML systems at scale
• Lead incident response for AI/ML security events, coordinating technical remediation and stakeholder communication
• Establish secure MLOps practices including secure model versioning and access controls
• Collaborate with engineering teams to integrate security-by-design principles into AI/ML development workflows
• Translate complex AI/ML security risks into business impact assessments for leadership and stakeholders
• Develop and present security roadmaps that align with business objectives and product timelines
• Lead cross-functional teams through security initiatives, fostering collaboration between various departments
• Establish metrics and KPIs to measure AI/ML security posture and communicate progress to executives

• 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.