Apple is seeking a talented and experienced applied ML researcher to join a dynamic team focused on crafting innovative products. This role involves researching new capabilities and developing advanced models using cutting-edge methods. The researcher will tackle high-risk challenges, improving state-of-the-art deep learning models and implementing novel algorithms. The position requires a strong foundation in deep learning and the ability to work with multimodal data to deliver solutions that inspire millions of customers.

• 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 of self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
• Experience working with multimodal data such as images, audio, time-series, or sensor fusion.
• Strong analytical and problem-solving skills.
• Publication record at top-tier ML venues such as NeurIPS, ICML, ICLR, Interspeech, or ICASSP.
• 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.