The role involves working as a Software Engineer on the Location Services team at Apple, focusing on developing innovative technologies that enhance location-aware user experiences. The team is dedicated to integrating machine learning with spatial and wireless sensors to create intuitive human-computer interactions. Candidates will collaborate with other iOS developers to architect full-stack solutions and contribute to the future of iOS. This position requires a strong background in machine learning and computer vision.

• Ph.D. or M.S. with equivalent applied research experience in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
• Deep expertise in Machine Learning and Computer Vision, particularly with Vision Transformers, CNNs, and Foundation Models.
• Proven track record of developing and optimizing efficient ML training pipelines using Active Learning, domain adaptation, or semi-supervised learning.
• Hands-on experience with egocentric video understanding, action recognition, or scene classification.
• Strong programming skills in Python and C/C++, with proficiency in modern deep learning frameworks like PyTorch and TensorFlow.
• Experience working with novel or multi-modal sensor data and synthetic/semi-synthetic data generation.
• Ability to optimize data-loading and training infrastructure for GPU efficiency.
• Familiarity with 3D computer vision and spatial/robotic perception.

• Architect and implement production software systems for new machine learning technologies.
• Collaborate with developers on other iOS teams to create full-stack iOS solutions.
• Design and implement technologies that integrate machine learning with wireless and spatial sensors.
• Participate in brainstorming sessions to innovate and solve real-world problems.
• Take initiative to address new challenges and ensure accountability for results.
• Engage in all aspects of development, including prototyping, planning, designing, productizing, launching, and scaling.

• 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.