Apple is seeking a talented applied ML researcher to join a dynamic team focused on developing innovative machine learning solutions. This role involves researching and designing state-of-the-art deep learning models while tackling high-risk challenges. The researcher will work with unique data and implement novel algorithms to solve complex problems. Collaboration across various ML subfields and modalities is essential to deliver impactful solutions.

• BS in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.
• Experience in academic or industry research.
• Experience working with Pytorch.
• MS or PhD in Computer Science, Electrical Engineering, or a related field with 10+ years of relevant industry experience.
• Strong foundation in deep learning theory and hands-on experience training large-scale models.
• Deep knowledge in one or more areas such as self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
• Experience working with multimodal data including images, audio, time-series, or sensor fusion.
• Strong analytical and problem-solving skills.
• Publication record at top-tier ML venues.
• Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics.

• Research and design new capabilities in machine learning.
• Develop frontier models using cutting-edge methods.
• Implement novel machine learning algorithms.
• Improve state-of-the-art deep learning models trained on unique data.
• Translate research ideas into production-quality code.
• Collaborate with distributed teams across time zones.

• 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.