The role is for an engineer in the Apple Ads Machine Learning Platform team, focusing on building and scaling innovative machine learning systems for optimized advertising content. The team collaborates closely with ML engineers and scientists to enhance platform capabilities that support scalable modeling and experimentation. Candidates should be results-oriented and versatile, capable of thriving in a fast-paced environment. The position emphasizes building secure and scalable back-end systems while adhering to Apple's privacy commitments.

• Experience writing mission-critical code for production machine learning systems
• Experience building ML infrastructure, frameworks, or services used by multiple teams
• Experience building SDKs, APIs, and automation UIs used by development teams
• Proven experience building automation and CI/CD
• Solid understanding of the ML lifecycle: training, evaluation, deployment, and serving/inferencing
• Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow
• Prior experience applying ML at scale in advertising or related domains
• Strong problem-solving, debugging, and performance tuning skills
• Experience in the advertising industry
• Experience with distributed training and/or optimizing large-scale models for low-latency serving
• Experience building infrastructure for diverse sets of model development use cases including LLMs and reinforcement learning
• Prior experience in privacy-preserving ML

• Design and develop secure and scalable back-end systems for machine learning products
• Collaborate with various teams to build high-performing and elegant systems
• Select appropriate technologies and build solutions for unique ad network challenges
• Contribute to a culture that emphasizes reliability, simplicity, and scalability
• Support the continuous experimentation and modeling efforts of all Ads teams

• 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.