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AIML Security Engineering
Job
Apple
Cupertino, CA (In Person)
Full-Time
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Job Description
We're seeking an experienced AI/ML Security Engineer to serve as both a hands-on technical expert and strategic business leader in securing our artificial intelligence and machine learning systems. This dual-function role requires someone who can dive deep into technical security challenges while effectively communicating risks, strategies, and solutions to cross-functional teams and executive leadership.
We offer-Opportunity to shape AI/ML security strategy at global scaleCollaborative environment that values diverse perspectives and inclusive leadershipProfessional development budget for conferences, training, and certificationsComprehensive benefits including mental health support and accessibility accommodationsDescriptionDesign and implement comprehensive security frameworks for AI/ML pipelines, from data ingestion through model deploymentConduct security assessments of machine learning deployments, identifying vulnerabilities including adversarial attacks, data poisoning, and model inversion risksDevelop automated security testing and monitoring solutions for AI/ML systems at scaleLead incident response for AI/ML security events, coordinating technical remediation and stakeholder communicationEstablish secure MLOps practices, including secure model versioning, access controls, and audit trailsCollaborate with engineering teams to integrate security-by-design principles into AI/ML development workflowsBusiness & Strategic LeadershipTranslate complex AI/ML security risks into business impact assessments for leadership and stakeholdersDevelop and present security roadmaps that align with business objectives and product timelinesLead cross-functional teams through security initiatives, fostering collaboration between engineering, legal, privacy, and product teamsEstablish metrics and KPIs to measure AI/ML security posture and communicate progress to executivesPreferred QualificationsAdvanced degree in Computer Science, Cybersecurity, or related technical fieldExperience with differential privacy, federated learning, or other privacy-preserving ML techniquesBackground in threat modeling and security architecture designFamiliarity with accessibility considerations in AI/ML systemsMinimum Qualifications7+ years of experience in cybersecurity with 4+ years specifically in AI/ML securityProven track record of leading both technical teams and cross-functional business initiativesDeep understanding of machine learning security threats (adversarial ML, model stealing, data poisoning, etc.)Experience with secure cloud architectures and containerization technologies (Kubernetes, Docker)Strong background in at least two programming languages (Python, Swift, C++, or similar)Experience with ML frameworks (TensorFlow, PyTorch, Core ML) from a security perspectiveDemonstrated ability to communicate technical concepts to non-technical stakeholdersExperience with regulatory compliance in AI/ML contexts (GDPR, CCPA, AI governance frameworks)\
We offer-Opportunity to shape AI/ML security strategy at global scaleCollaborative environment that values diverse perspectives and inclusive leadershipProfessional development budget for conferences, training, and certificationsComprehensive benefits including mental health support and accessibility accommodationsDescriptionDesign and implement comprehensive security frameworks for AI/ML pipelines, from data ingestion through model deploymentConduct security assessments of machine learning deployments, identifying vulnerabilities including adversarial attacks, data poisoning, and model inversion risksDevelop automated security testing and monitoring solutions for AI/ML systems at scaleLead incident response for AI/ML security events, coordinating technical remediation and stakeholder communicationEstablish secure MLOps practices, including secure model versioning, access controls, and audit trailsCollaborate with engineering teams to integrate security-by-design principles into AI/ML development workflowsBusiness & Strategic LeadershipTranslate complex AI/ML security risks into business impact assessments for leadership and stakeholdersDevelop and present security roadmaps that align with business objectives and product timelinesLead cross-functional teams through security initiatives, fostering collaboration between engineering, legal, privacy, and product teamsEstablish metrics and KPIs to measure AI/ML security posture and communicate progress to executivesPreferred QualificationsAdvanced degree in Computer Science, Cybersecurity, or related technical fieldExperience with differential privacy, federated learning, or other privacy-preserving ML techniquesBackground in threat modeling and security architecture designFamiliarity with accessibility considerations in AI/ML systemsMinimum Qualifications7+ years of experience in cybersecurity with 4+ years specifically in AI/ML securityProven track record of leading both technical teams and cross-functional business initiativesDeep understanding of machine learning security threats (adversarial ML, model stealing, data poisoning, etc.)Experience with secure cloud architectures and containerization technologies (Kubernetes, Docker)Strong background in at least two programming languages (Python, Swift, C++, or similar)Experience with ML frameworks (TensorFlow, PyTorch, Core ML) from a security perspectiveDemonstrated ability to communicate technical concepts to non-technical stakeholdersExperience with regulatory compliance in AI/ML contexts (GDPR, CCPA, AI governance frameworks)\