Join Apple's HID sensing and interaction algorithms team as a machine learning engineer focused on generative AI and signal processing. You will work at the intersection of hardware, software, and design to enhance user experiences across various Apple products. The role involves researching and developing generative models for physical signals, with an emphasis on real-world impact. Collaboration with engineers from different disciplines is key to delivering innovative features to millions of users.

• BS in Computer Science, Electrical Engineering, or a related STEM field with a minimum of 3 years of relevant industry or research experience
• Hands-on experience developing generative AI models or systems that go beyond tutorials
• Experience working with real-world sensor or physical measurement data
• Solid foundation in digital signal processing and time-series analysis
• Strong Python programming skills and proficiency with a modern deep learning framework such as PyTorch
• MS or PhD in machine learning, signal processing, electrical engineering, physics, or a related field
• Experience training generative or other ML models on time-series, sensor, audio, or image data
• Statistical rigor in designing experiments and evaluations
• Experience using LLM-based AI assistants and agents to accelerate research and development work
• Proficiency in C/C++, and familiarity with embedded or resource-constrained systems
• Demonstrated persistence in driving a challenging project from idea to production
• Excellent communication and cross-functional collaboration skills

• Explore how generative AI can advance sensing and interaction
• Research, develop, and evaluate generative models and AI systems for physical signals
• Collaborate with algorithm, firmware, and software engineers to deliver features from prototyping through production
• Check claims against real data and report negative results honestly
• Explain technical findings clearly to people outside their field

• 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.