The Apple Services Engineering (ASE) Search team is seeking motivated machine learning engineers and researchers to enhance search and conversational discovery features across Apple's platforms. This role involves working on innovative solutions that help users discover media and content in new ways. The team values a collaborative environment and is dedicated to maintaining high standards of quality and performance. As part of a small, nimble team, you will have the opportunity to make a positive impact on users' lives.

• MS or Ph.D. in Computer Science or a related subject area
• 2+ years of relevant industry experience in machine learning or data systems
• Knowledge of generative AI systems including Large Language Models and Transformers
• Experience with one or more machine learning frameworks such as PyTorch or TensorFlow
• Familiarity with search, recommendation systems, or conversational engines
• Strong communication skills and ability to work effectively in a collaborative team environment
• 4+ years of relevant industry experience in machine learning or data systems
• Experience in building search or conversational capabilities like query understanding or retrieval
• Familiarity with big data pipelines using Scala, Python, or Apache Spark
• Exposure to distributed backend services, Kubernetes, or cloud infrastructure
• Experience with GoLang or gRPC services
• Familiarity with A/B experimentation and data-driven product development

• Contribute to the design and development of next-generation search features
• Collaborate with team members to solve challenging problems in search and discovery
• Implement machine learning models to enhance user experience across platforms
• Work on building secure and robust end-to-end solutions for search capabilities

• 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.