The Senior Machine Learning Engineer will be part of the Answers, Knowledge, and Information team at Apple, focusing on developing advanced search and question answering experiences. This role involves collaborating with machine learning engineers, product teams, and data scientists to enhance features across various Apple products. The engineer will leverage cutting-edge search technologies and large language models to improve how users obtain information. This position offers the opportunity to work in a high-performance computing environment managing vast amounts of data.

• 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.
• 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, pyTorch, etc.
• Experience working with transformer-based models (e.g., BERT, T5) in a search context.
• Prior industry experience on large scale search systems.
• Ability to quickly prototype ideas/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 upcoming products from Apple.
• Shape how people obtain information by leveraging search and applied machine learning expertise.

• 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.