The Senior Machine Learning Engineer will be part of the Answers, Knowledge, and Information team at Apple, focusing on revolutionizing how users obtain information through advanced search technologies. This role involves developing world-class search and Q&A experiences using large language models and machine learning. The engineer will collaborate with experts in data management and machine learning systems to enhance features across various Apple products. This position offers a unique opportunity to shape the future of information retrieval for millions of users.

• Bachelor's degree in Computer Science, Machine Learning, or a related field.
• 7+ years of industry or academia experience in machine learning, with a focus 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 is preferred.
• 10+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems.
• Familiarity with NLP/ML tools and packages like Jax, TensorFlow, and PyTorch.
• Experience working with transformer-based models such as BERT or T5 in a search context.
• Prior industry experience on large scale search systems.
• Ability to quickly prototype ideas and solutions, perform critical analysis, and use creative approaches for solving complex problems.

• Develop ranking and retrieval technologies that power question answering and search across Apple products.
• Collaborate with experts in large-scale data management, machine learning systems, and knowledge extraction.
• Drive advancements in question answering and search technologies.
• Contribute to the development of next-generation Search and Question Answering systems.
• Leverage search and applied machine learning expertise to enhance user experiences.

• 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.