Machine Learning Engineer - Strategic Data Solutions

Job Description

Strategic Data Solutions empowers internal partners and optimizes the customer experience by delivering data-driven solutions that mitigate fraud, improve security, and optimize efficiency. As an SDS Machine Learning Engineer at Apple, you will work with teams across the company to define, build, deploy, and maintain end-to-end operational solutions using data analysis and predictive modeling techniques.

Requirements

• Graduate degree with research/work experience utilizing data science techniques or Bachelor’s degree with equivalent experience
• Practical experience in deploying machine learning solutions to answer real-world questions
• Practical experience with implementing data science-related applications in a programming language such as Python, Scala, or Java

Responsibilities

• Engage with stakeholders to translate ambiguous business problems into technical solutions
• Design data science-driven solutions in collaboration with technical partners
• Implement robust real-time and batch decisioning in production
• Create reporting and monitor decisioning quality
• Investigate trends, assess threat impact, and respond with agile logic changes
• Communicate with stakeholders and share learning about novel technologies and methods

Benefits

• 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.