The Senior/Staff Machine Learning Research position on the ASE Search team at Apple focuses on designing and developing next-generation search and conversational discovery features. This team is integral to Apple's ecosystem, enhancing user experiences across various platforms such as App Store, Apple Music, and Apple TV. The role requires a passion for solving complex problems and a commitment to innovation in machine learning. Candidates will work in a collaborative environment, contributing to impactful projects that improve how users discover media and content.

• 3+ years of relevant industry experience building large-scale ML and data systems
• Strong knowledge of generative AI systems including Large Language Models and Transformers
• Experience with distributed ML training frameworks such as PyTorch or TensorFlow
• MS or Ph.D. in Computer Science or a related subject area
• Proven ability to build and scale Search and Conversational systems with 7+ years of hands-on experience

• Lead the design and development of search and conversational discovery features
• Collaborate with cross-functional teams to enhance user experiences
• Develop robust big data pipelines using Scala or Python
• Apply expertise in search and conversational systems to solve complex problems
• Contribute to data-driven product development through A/B experimentation

• 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.