As a machine learning engineer in Finance at Apple, you will play a crucial role in building data foundations and platforms that deliver insights and automate decisions for the Finance organization. You will lead efforts in product cost support while collaborating with a multi-discipline engineering team. Your expertise in engineering practices and business processes will be essential in operationalizing AI solutions. This position requires a blend of technical leadership and a strong understanding of finance-related data.

• At least 8 years of experience in an engineering role
• At least one year of experience effectively leading engineers and collaborating cross-functionally
• Experience building data models and scalable pipelines using SQL and big data technologies
• Experience developing in Python while following DRY principles and testing standards
• Experience applying ML algorithms for regression, classification, and anomaly detection
• Graduate degree in computer science, data science, math, quantitative finance, or a similar discipline
• Undergraduate degree in computer science, data science, finance, economics, accounting, or a related business discipline
• Previous experience working in a corporate finance, accounting, or supply chain organization

• Lead the technical efforts for product cost within the Operations Finance organization
• Collaborate with data and software engineers, product managers, and program managers
• Operationalize AI solutions to bridge the gap between prototype and production
• Instill strong engineering practices into team machine learning processes
• Deliver value to the Finance organization through rapid and reliable AI implementations

• 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.