As a machine learning engineer in Apple's Finance group, you will play a crucial role in building data foundations and platforms that deliver insights and automate decisions. You will lead product cost initiatives and collaborate with a multi-discipline engineering team. Your expertise in engineering practices and business processes will be essential in operationalizing AI solutions. This position offers the opportunity to bridge the gap between prototype and production, delivering value to the Finance organization.

• 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 similar discipline
• Undergraduate degree in computer science, data science, finance, economics, accounting, or 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 deliver value to the Finance organization
• Instill strong engineering practices into team machine learning processes
• Translate technical concepts for diverse audiences and convert ideas into solutions

• 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.