The role is for a senior full-stack engineer at Apple, focusing on delivering high-quality data for large language model training and evaluation. The AIML Data Operations organization is responsible for providing human-annotated machine learning data at scale to various product teams. The engineering team develops custom software solutions that enhance the collection and delivery of machine learning data. Candidates should be creative, collaborative, and possess strong computer science fundamentals.

• Bachelor's degree in Computer Science, Software Engineering, or a closely related technical field, or equivalent practical experience.
• 10+ years of progressive experience in designing, building, testing, debugging, and operating production-grade software systems.
• Demonstrated expertise in a modern, compiled, object-oriented language such as Swift, Objective-C, Go, C++, or Java.
• Experience with large-scale distributed systems such as Spark, Hadoop, Kafka, or Kubernetes.
• Experience administering and optimizing commercial cloud services like AWS, Google Cloud, or Microsoft Azure.

• Deliver high-quality, human-annotated machine learning data at scale.
• Design, build, and operate large-scale distributed data-processing pipelines.
• Develop custom, internal software solutions for data collection and delivery.
• Mentor junior and mid-level engineers and contribute to team-wide engineering excellence.
• Collaborate with diverse, multi-disciplinary teams to influence and drive technical outcomes.

• 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.