The Intelligent Quality Systems team at Apple focuses on building machine learning-powered systems to enhance software quality at scale. This role involves applying advanced ML techniques to improve testing processes and software delivery. You will work on real-world challenges, transforming ML ideas into practical solutions that impact software engineering. The position requires a strong understanding of machine learning and software engineering principles.

• 3+ years of experience with machine learning in academic or professional settings.
• Strong programming and software engineering skills with the ability to write clean, maintainable, production-quality code.
• Practical understanding of ML fundamentals, model training, evaluation, and debugging.
• BS or MS in Computer Science, Machine Learning, Statistics, or a related field.
• Experience with NLP, large language models, code understanding, or retrieval-augmented generation.
• Background in computer vision or multimodal ML.
• Experience building or maintaining data pipelines and ML infrastructure at scale.
• Familiarity with software testing, CI/CD systems, or developer tooling.
• Experience working with large-scale structured or semi-structured data.
• Comfort operating in environments where ground truth labels are noisy, ambiguous, or expensive to obtain.

• Design and build ML-powered systems that improve software quality.
• Prototype and evaluate techniques for change-impact prediction and failure analysis.
• Develop data collection and evaluation strategies for large-scale test results.
• Identify gaps in data quality and system design before they become issues.
• Collaborate with teams to ensure robust operation of systems across software engineering.

• 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.