The role is for a versatile Machine Learning Software Engineer at Apple, focusing on developing innovative, ML-driven product features for Apple Watch. The team aims to enhance user experiences through sensing and human-computer interaction, collaborating with various research and product teams. Candidates will work on optimizing ML algorithms and deploying models on-device to create impactful features. This hybrid position requires collaboration with designers and engineers to transform ideas into next-generation experiences.

• M.S. or Ph.D. in Machine Learning, Computer Science, or a related field
• Solid knowledge of machine learning methods, statistical analysis, and predictive modeling using time-series data
• Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as PyTorch or TensorFlow
• Experience with Swift or Objective-C and developing on Apple platforms
• Excellent communication and collaboration skills, with the ability to work independently or in small teams
• Proficient in the full ML development cycle, including data collection, model training and optimization, defining metrics, evaluation, performing failure analysis, and model deployment to resource-constrained devices

• Develop and optimize ML algorithms leveraging multimodal sensor data to detect user activities and contextual situations
• Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models and interface with sensors
• Drive innovation from concept to deployment, ensuring research ideas evolve into high-impact, user-facing features
• Design and implement tools, analytics, and processes for in-depth analysis to validate and quantify algorithm performance both offline and on-device

• 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.