Apple is seeking a Display Algorithm Engineer to lead the development of cutting-edge display technologies. This position emphasizes the creation of innovative display algorithms and machine learning models that enhance Apple display products. The role involves collaboration with various teams to address engineering challenges using data-driven solutions. Candidates should be passionate about optimizing performance through advanced algorithms and large-scale data analysis.

• M.S. in Electrical Engineering, Computer Science, Optics, Physics, or a related quantitative field with 3+ years of industry experience or equivalent practical experience.
• Proficiency in Python and fundamental machine learning concepts, with hands-on experience using frameworks such as PyTorch, TensorFlow/JAX, or Scikit-learn.
• Experience with the ML lifecycle including data curation/cleaning, model exploration, training/fine-tuning, and systematic evaluation.
• Working knowledge of digital image processing and computer vision techniques.
• Ph.D. in Electrical Engineering, Optics, Physics, or Computer Engineering with expertise in image processing and machine learning.
• Experience with multimodal machine learning, including adapting or fine-tuning large pre-trained multimodal models for domain-specific or scientific imagery.
• Strong domain background in display technologies, display systems and driving, optical metrology/calibration, or color science.
• Track record of bridging physical/hardware domain knowledge with data-driven ML models.
• First-author publication record in peer-reviewed ML or engineering venues.

• Develop algorithms grounded in machine learning models and large-scale data analysis.
• Collaborate with teams across Apple to build advanced display products.
• Identify potential challenges early in a product's lifecycle and propose solutions.
• Translate cross-functional insights and data into algorithms and models ready for implementation.

• 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.