The role is for a versatile Machine Learning Software Engineer who will work on innovative, ML-driven product features for Apple Watch and other devices. The team focuses on enhancing human-computer interaction through advanced sensing technologies and machine learning. Collaboration with various research and product teams across Apple is essential to explore and ship novel experiences. The engineer will be involved in the full machine learning development cycle, from model training to deployment.

• 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, with the ability to work independently or in small teams.
• Experience optimizing and profiling applications for performance and power consumption.

• Develop innovative, ML-driven product features that enhance sensing and human-computer interaction.
• Work across disciplines from training advanced models to rapid on-device prototyping.
• Participate in the full ML development cycle including data collection, model training, and optimization.
• Define metrics, evaluate models, perform failure analysis, and deploy models to resource-constrained devices.
• Collaborate with cross-functional partners to create high-impact features and new interaction methods.

• 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.