Apple is seeking an engineer to develop innovative machine learning algorithms and control strategies aimed at enhancing battery systems. The role focuses on on-device implementations to improve the utility and intelligence of these systems. Candidates will work in a dynamic environment where new ideas can quickly transform into extraordinary products and services. Passion and dedication are key to achieving success in this position.

• PhD and 10+ years of relevant industry experience
• Experience in machine learning techniques such as RNNs, LSTMs, and Transformers
• Proficiency in control theory and optimization methods including MPC and Kalman filters
• Experience with MATLAB/Simulink
• Proficiency in C/C++ for embedded systems and Python with ML frameworks like PyTorch and TensorFlow
• Experience in mathematical modeling for nonlinear dynamical systems
• Familiarity with physics-informed neural networks or hybrid physics/ML approaches
• Experience with MPC implementation and real-time optimization

• Develop novel machine learning algorithms to enhance battery system intelligence
• Implement control strategies for improved battery utility
• Work on on-device implementations for machine learning applications
• Collaborate with cross-functional teams to integrate new technologies
• Conduct mathematical modeling for complex dynamical systems

• 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.