The Machine Learning Platform team at Apple is focused on empowering Ad Platforms teams to build and scale innovative machine learning systems for optimized advertising content. This role involves designing and developing secure and scalable back-end systems while collaborating closely with engineers and data scientists. The team emphasizes reliability, simplicity, and scalability, aiming to deliver extraordinary experiences to customers. You will have the opportunity to tackle unique challenges in the ad network space while contributing to a culture of growth and support.

• Proven track record of designing and operating large-scale, low-latency ML Serving platforms supporting real-time and batch inference.
• Experience with model quantization, tensor parallelism, and inference optimizations such as ONNX Runtime and TensorRT.
• Hands-on experience designing and optimizing low-level GPU kernels to maximize hardware utilization.
• Prior experience in the advertising industry and knowledge of privacy-preserving ML techniques.
• PhD, MS, or BS in computer science or a related field, with 8+ years of experience in machine learning.

• Design and develop secure and scalable back-end systems for machine learning applications.
• Collaborate with engineers and data scientists to improve and scale ML features and models.
• Lead the evaluation and adoption of new technologies for ML serving and optimization.
• Mentor and support the growth of engineers through code and design reviews.
• Build abstractions and automation tools to streamline ML workflows and reduce operational burden.

• 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.