The Staff/Senior Machine Learning Engineer will be part of the Information Intelligence team at Apple, focusing on developing advanced Search and Question Answering experiences. This role involves leveraging cutting-edge search technologies and large language models to enhance how users access information across various Apple products. The team is composed of diverse experts in applied science and engineering, working collaboratively to push the boundaries of machine learning applications. The engineer will have the opportunity to shape innovative products and improve user experiences through robust software engineering and machine learning expertise.

• MS in Computer Science or related field
• 10+ years of work experience in machine learning, deep learning or related field
• 10+ years experience in shipping Search and Q&A technologies and ML systems
• Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go
• Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality
• Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy
• Strong written and verbal communication with the ability to articulate complex topics
• Excellent interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others
• Passion for building phenomenal products and curiosity to learn
• PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
• Strong industry background and experience in search and related technologies (LLMs, Machine Learning, NLP, Information Retrieval, Question Answering)
• Strong and validated experience of ML development and production systems
• Experience working with foundation models and LLMs

• Develop world-class Search and Q&A experiences for Apple customers using advanced search technologies.
• Collaborate with engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking.
• Push the boundaries on document retrieval and ranking using sophisticated machine learning models.
• Utilize embeddings and deep learning techniques to assess the quality of search matches.
• Implement online learning strategies to quickly adapt to changes in user queries.
• Combine structured and unstructured data to deliver accurate answers to user information-seeking needs.
• Train, fine-tune, and deploy machine learning models at scale for optimal performance.

• 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.