As a Machine Learning Engineer in the Strategic Data Solutions team at Apple, you will tackle complex business problems using data analysis and predictive modeling techniques. The role involves collaborating with various teams to build and maintain operational solutions that enhance customer experience and mitigate fraud. You will engage with stakeholders to translate business challenges into technical solutions while fostering a culture of learning and collaboration. This position offers the opportunity to work on impactful projects that drive efficiency and security across Apple's operations.

• Graduate degree with research or work experience utilizing data science techniques or a Bachelor's degree with equivalent experience.
• At least 3 years of 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 that balance traditional techniques with 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 insights about novel technologies and methods to improve the 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.