Join a team dedicated to defending Apple's ecosystem by building large-scale machine learning systems that protect users from emerging threats. The Applied ML Engineer will design, build, and deploy critical machine learning models focused on safety and security challenges. This role involves collaborating with researchers and product teams to ensure robust defenses while maintaining user privacy. The ideal candidate will have a strong background in machine learning and a passion for tackling complex problems.

• 2+ years of experience shipping machine learning models to production.
• Strong familiarity with research fundamentals and machine learning principles.
• Proficient programming skills in Python and deep learning toolkits such as JAX, PyTorch, or Tensorflow.
• BS, MS, or PhD in Computer Science, Machine Learning, or related fields.
• Hands-on experience with fine-tuning or aligning large language models for security applications.

• Design, build, and deploy production-grade ML models to detect and mitigate abuse across multiple modalities.
• Own the full ML lifecycle from prototyping and data analysis to deployment and continuous improvement.
• Drive the data strategy to improve model performance by analyzing distribution gaps and creating automated annotation systems.
• Architect end-to-end systems for monitoring platform activity and triggering automated enforcement actions.
• Collaborate with cross-functional partners to define project requirements and deliver robust security solutions.

• 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.