Join Apple's Human Interface Design team as a machine learning and DSP engineer focused on developing advanced sensing algorithms for various Apple products. This role emphasizes collaboration across hardware, software, and design teams to create exceptional user experiences. You will leverage machine learning and signal processing techniques while integrating GenAI tools to enhance productivity. The position requires a strong background in embedded systems and algorithm development.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
• 3 years of relevant industry experience.
• Strong software programming skills in C/C++ and Python.
• Experience with embedded systems.
• Strong background in signal processing and machine learning.
• Experience with object-oriented programming and common software design patterns.
• Excellent communication, presentation, and documentation skills.

• Develop sensing algorithms using signal processing and machine learning techniques.
• Deliver highly optimized, power-efficient code for custom silicon.
• Tackle complex challenges related to memory constraints and real-time performance.
• Lead efforts to identify and deploy GenAI tools to improve team productivity.
• Define best practices for GenAI tool adoption within the group.
• Collaborate cross-functionally to scale GenAI tool efforts.
• Prototype and integrate algorithm and signal processing code with the software layer.

• 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.