The Software Engineer role within the AI & Data Platforms team focuses on building the next generation of the Applied Machine Learning Platform. This platform provides backend services and infrastructure for various Machine Learning and Data Science teams to train, build, deploy, and infer models at scale, particularly to prevent fraud across multiple Apple platforms. The team is responsible for handling thousands of transactions per second in a distributed manner, making it essential to have a deep understanding of systems design and concurrency. The ideal candidate will be passionate about building production-grade platforms and solving complex distributed systems problems.

• 6+ years of software development experience
• 4+ years of expertise in Python or Java for building production applications
• Solid understanding of concurrency, threading, and multiprocessing in high-throughput production systems
• Strong understanding of language internals and their implications in highly concurrent systems
• Deep knowledge of ML and AI frameworks and ecosystem
• Strong understanding of computer science fundamentals, including data structures and algorithms
• Proficiency in containerization technologies like Kubernetes and CNCF technologies
• Proficiency in profiling, optimizing, and debugging applications and libraries
• Bachelor's degree in Computer Science or a similar discipline
• Excellent written and verbal communication skills on both technical and non-technical topics
• Exposure to Ray, KServe, Triton, or other inference frameworks
• Ability to debug complex cross-platform issues and optimize performance
• Ability to debug and improve ML workflow tuning for high accuracy
• Knowledge of using GenAI to build solutions to improve productivity

• Design, build, and enhance scalable and highly concurrent ML and AI serving platforms.
• Collaborate with various Machine Learning and Data Science teams to provide backend services.
• Handle thousands of transactions per second in a distributed manner.
• Debug complex cross-platform issues and optimize performance.
• Improve ML workflow tuning for high accuracy.
• Propose good design solutions and conduct thorough analysis of production issues.

• 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.