The Staff Machine Learning Engineer will play a critical role in developing advanced Search and Q&A experiences for Apple customers using cutting-edge search technologies and large language models. The Information Intelligence team is focused on redefining how users access information across various Apple products, including Siri and Safari. This position offers the opportunity to shape upcoming products while collaborating with a diverse group of applied scientists and engineers. Candidates should have a strong background in machine learning and software engineering.

• 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
• 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
• 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)
• Experience working with foundation models and LLMs

• Develop world-class Search and Q&A experiences for Apple customers.
• Collaborate with Search and AI engineers on large scale machine learning projects.
• Improve Query Understanding, Retrieval, and Ranking using advanced machine learning techniques.
• Train, fine-tune, and deploy machine learning models at scale.
• Leverage deep learning techniques to understand queries and user intents.
• Work with petabytes of data to provide accurate answers to users' information-seeking needs.
• Develop sophisticated machine learning models for document retrieval and ranking.
• Utilize online learning to adapt quickly to changes in user queries.

• 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.