The Machine Learning Engineer role at Apple focuses on developing analytical and machine learning solutions to enhance employee experiences and business outcomes. The People Analytics Team is dedicated to leveraging data science to support talent management, employee surveys, compensation, and recruiting. This position involves engaging with business partners to understand their challenges and designing data-driven solutions. The role requires collaboration with data engineers and system architects to implement these solutions effectively.

• MS with 5+ years of professional experience applying data science to real-world business problems
• Practical experience with algorithms for classification, regression, clustering, and anomaly detection
• Proficiency in writing SQL queries involving database joins and analytical/window functions
• Ability to implement data science pipelines, analyses, and applications in Python or R
• Prior experience working with employee data or HR systems
• Experience with natural language processing and network analysis is a plus
• Ph.D. in I-O Psychology, Economics, Operations Research, Computer Science, or Statistics with relevant experience

• Employ predictive modeling and statistical analysis to support solutions for talent management and recruiting
• Engage with business partners to understand their problems and design data-driven solutions
• Produce proof-of-concept and prototype solutions for analytical challenges
• Collaborate with data engineers and system architects to implement solutions in a production environment
• Be responsible for the ongoing analytic operation of implemented solutions
• Extract meaningful business insights from data and identify stories behind the patterns

• 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.