The role is for a versatile Machine Learning Software Engineer focused on developing innovative, ML-driven product features for Apple Watch. The team is responsible for creating technologies that enhance user interaction and wellbeing through sensing and machine learning. Collaboration with various research and product teams across Apple is essential to explore and ship novel experiences. The ideal candidate will work across disciplines, from model training to productization.

• M.S. or Ph.D. in Computer Science, Machine Learning, or a related field.
• Proficiency with Swift or Objective-C and developing on Apple platforms.
• Experience using Python and deep learning frameworks such as PyTorch or TensorFlow for predictive modeling.
• Excellent communication and collaboration skills.
• Experience optimizing and profiling applications for performance and power consumption.

• Develop and ship innovative ML-driven product features.
• Collaborate with cross-functional partners to create high-impact features.
• Work within the full ML development cycle, including data collection and model deployment.
• Prototype new experiences and publish work.
• Perform failure analysis and define metrics for model evaluation.

• 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.