The role is for an applied ML researcher at Apple, focusing on developing cutting-edge machine learning models and algorithms. The team is dynamic and innovative, working on high-risk challenges that require creative solutions. The researcher will engage in both theoretical research and practical implementation, contributing to products that impact millions of customers. Collaboration across various ML subfields and modalities is essential to deliver effective 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.
• 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.
• Resilience and persistence in experimentation cycles.
• Publication record at top-tier ML venues.
• Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics.
• Experience collaborating with distributed teams across time zones.

• Research new capabilities and develop frontier models using cutting-edge methods.
• Design and improve state-of-the-art deep learning models trained on unique data.
• Implement novel machine learning algorithms to solve complex problems.
• Combine ideas from different fields to address unique challenges.
• Deliver solutions that are adopted broadly across teams.

• 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.