The Machine Learning Engineer role at Apple's AI and Machine Learning organization focuses on innovating and applying research in foundation models, particularly with audio data. The Data and Machine Learning Innovation team seeks a passionate individual to tackle real-world ML challenges and collaborate with researchers, engineers, and data scientists. This position involves developing multi-modal data generation frameworks and robust model evaluation pipelines. The engineer will also analyze multi-modal data and contribute to groundbreaking research initiatives.

• 5+ years of experience developing and evaluating ML applications.
• Deep understanding of multi-modal foundation models.
• Strong software development skills with proficiency in Python.
• Hands-on experience with deep learning toolkits like PyTorch, TensorFlow, or JAX.
• Demonstrated publication records in relevant conferences.

• Design and develop a comprehensive multi-modal data generation and curation framework.
• Contribute to building robust model evaluation pipelines for continuous improvement.
• Analyze multi-modal data to understand its influence on model behavior and outcomes.
• Design self-supervised and semi-supervised representation learning pipelines.
• Apply data selection techniques to improve data efficiency and reduce distributional gaps.

• 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.