The Applied Machine Learning team in the AI and Data Platform organization is focused on accelerating digital transformation through machine learning within Apple's enterprise ecosystem. This role involves building and operating machine learning, GenAI, inference, and data platforms to meet business-critical needs. The engineer will tackle challenges related to scale and performance using cutting-edge technologies in hybrid cloud environments. The position requires a strong background in reliability engineering and collaboration across multiple teams.

• BS/MS in computer science or equivalent experience
• 2+ years of programming experience in Python, Java, or Go
• 2+ years of experience with Kubernetes, Docker, or other container orchestration frameworks
• Ability to read and explain open source codebases
• Experience deploying and managing CI/CD pipelines
• Strong expertise in troubleshooting complex production issues
• Experience with big data technologies such as Spark, Flink, Iceberg, or emerging GenAI/ML technologies like Ray, MLflow, or model serving
• Familiarity with Linux, database, and security concepts

• Work on projects related to GenAI, machine learning, inference, and big data platforms
• Build and operate large scale platforms and distributed systems
• Conduct performance analysis and troubleshoot large scale distributed systems
• Collaborate with multiple teams to understand complex architectures
• Proactively improve the uptime and availability of mission-critical services

• 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.