The Machine Learning Engineer will join the Wallet Intelligence and Machine Learning team at Apple, focusing on developing and launching on-device technologies to protect users from fraud while maintaining privacy. This role involves building analytical solutions that operate in real-time on users' devices, particularly for Apple Pay and Apple Wallet. The team values a mission-driven approach, tackling complex problems with collaboration and skepticism. Candidates should be prepared to take ownership of problem areas and apply their machine learning expertise in a fast-paced environment.

• Experience with machine learning methods such as classification, clustering, and anomaly detection.
• Strong programming skills in one or more languages such as Python, Scala, or Java.
• Experience processing and analyzing data at scale using distributed data or compute frameworks.
• Ability to communicate the results of analysis clearly and succinctly to a range of audiences.
• Experience delivering results on ambiguous, loosely defined problems, working with others.
• Rigorous analytical thinking, including the ability to question assumptions and justify recommendations with sound evidence.
• Experience deploying machine learning in resource-constrained or real-time environments.
• Familiarity with privacy-preserving machine learning techniques.
• Background in fraud detection, risk modeling, or security-focused machine learning.
• Familiarity with iOS development.

• Develop and launch on-device technologies to enhance user safety.
• Collaborate closely with engineering, security, program management, and business partners.
• Design machine learning models that run in real-time on users' devices.
• Anticipate fraud patterns and proactively address them.
• Take ownership of specific problem areas and build a system-wide understanding of model integration.

• 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.