We are seeking a dedicated and experienced Machine Learning Engineer to develop intelligent search systems that understand user intent and context. This role involves building and deploying machine learning models to enhance search relevance and user satisfaction. As part of a dynamic team at Apple, you will have the opportunity to influence the development of innovative products. The ideal candidate will possess strong applied machine learning experience and engineering skills.

• Bachelor's degree in Computer Science, Machine Learning, or a related field
• 5+ years of industry or academia experience in machine learning, focusing on search, NLP, or recommender systems
• Strong programming skills in C/C++ or Python, and experience with ML frameworks
• Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval
• Excellent communication and collaboration skills
• Advanced degree in Computer Science, Machine Learning, or a related field
• Familiarity with NLP/ML tools and packages like Jax, TensorFlow, and PyTorch
• Experience working with transformer-based models in a search context
• Prior industry experience on personal search systems
• Ability to quickly prototype ideas and solutions, perform critical analysis, and creatively solve complex problems

• Analyze search ranking and relevance requirements, issues, and opportunities
• Identify areas of improvement in the search pipeline and lead projects from research to production
• Design, train, and deploy machine learning models to improve search relevance and ranking
• Define evaluation metrics and benchmarks for search quality
• Collaborate with multi-functional teams including product, design, and data engineering
• Find opportunities and partner with various product teams to apply search technology to new product areas and use cases

• 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.