The Applied ML Engineer will join a team dedicated to defending Apple's ecosystem by building large-scale machine learning systems that protect users from emerging threats. This role involves designing, building, and deploying critical machine learning models for abuse detection while ensuring user privacy. The ideal candidate will have a strong background in machine learning and a passion for tackling complex safety and security challenges. Collaboration with researchers and cross-functional teams is essential to deliver robust security solutions.

• 2+ years of experience shipping machine learning models to production.
• Strong familiarity with research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models.
• Proficient programming skills in Python and deep learning toolkits such as JAX, PyTorch, or Tensorflow.
• Ability to work with sensitive and offensive content as part of building robust security and abuse detection systems.
• BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification.
• Hands-on experience with fine-tuning or aligning large language models for security or safety applications.
• Experience building large-scale data processing pipelines and ML infrastructure.
• Experience driving technical projects and collaborating with large, diverse, cross-functional teams.

• 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, monitoring, and continuous improvement of models in production.
• Drive the data strategy to continuously improve model performance by analyzing distribution gaps and contributing to synthetic data pipelines.
• Architect end-to-end systems for monitoring platform activity, detecting misuse, and triggering automated enforcement actions in real-time.
• Collaborate with cross-functional partners in engineering, research, and product to define project requirements and establish technical direction.

• 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.