As a Backend Engineer in AIML Evaluation at Apple, you will play a crucial role in developing scalable architectures and building core APIs that support AI/ML-powered features. Your work will involve leading requirements definition and co-owning the roadmap for ML evaluation platforms. You will collaborate closely with engineering, research, and product teams to deliver high-impact solutions. This position requires strategic thinking and deep technical expertise in a fast-paced environment.

• 2+ years of experience in backend engineering with a focus on large-scale software system design and implementation.
• Proficiency in programming languages such as Python, GoLang, or Java.
• Experience with distributed systems, databases (SQL/NoSQL), and cloud platforms (AWS, Azure, GCP).
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Solid understanding of AI feature, model evaluation metrics, and data processing pipelines.
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code.

• Design and integrate scalable architectures for AI/ML evaluation.
• Build core APIs, frameworks, and libraries for Modeling and Evaluation teams.
• Lead requirements definition and proof-of-concept development.
• Co-own the roadmap for ML evaluation platforms and ensure seamless system integration.
• Strengthen automation and improve model performance assessment.
• Streamline workflows across AI/ML 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.