The role of Machine Learning Engineer (MLE) at Apple involves solving complex business problems through data analysis and predictive modeling. The Strategic Data Solutions team focuses on delivering data-driven solutions that enhance customer experience and mitigate fraud. The position requires collaboration with various teams across the company to develop and maintain operational solutions. Candidates will engage in a culture that values mentorship, technical growth, and work-life balance.

• 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
• Theoretical understanding of machine learning algorithms and their relative strengths and weaknesses
• Ability to use a querying language such as SQL to extract insights from data
• Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions
• Team-oriented skills and values to facilitate effective collaboration with business and technical partners

• Engage with stakeholders to translate ambiguous business problems into technical solutions.
• Work cooperatively to design data science-driven solutions, balancing the utility of tried-and-true techniques and the benefits of custom solutions.
• Collaborate with technical partners to implement robust real-time and batch decisioning in production.
• Create reporting and monitor decisioning quality to maintain operational and business metric health.
• Investigate trends, assess threat impact, and respond with agile logic changes.
• Communicate with stakeholders with varying technical backgrounds and business priorities about your work.
• Share what you're learning about novel technologies and methods to improve your team's overall technical capabilities.

• 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.