The Apple Knowledge Quality Team is seeking extraordinary Machine Learning engineers to develop next-generation machine learning solutions for Knowledge Q&A, enhancing features like Siri and Spotlight. This role involves working with large-scale data management and machine learning systems to redefine how users search and find information. Engineers will build state-of-the-art Gen AI components at scale, focusing on knowledge extraction from semi-structured and unstructured data. The team aims to impact hundreds of millions of users by improving their experience with technology.

• Excellent programming skills in mainstream programming languages such as Python, Scala, and Go.
• Prior experience with Machine Learning Frameworks such as PyTorch and Tensorflow.
• Working experience with NLP and Large Language Models.
• Experience working with large data sets and pipelines, ideally using the Apache software stack.
• PhD or Graduate degree with research/work experience in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field.

• Design and develop features for a platform that manages large-scale data and machine learning systems.
• Build state-of-the-art Gen AI components to enhance question answering capabilities for Siri.
• Collaborate with a team of experts to push the boundaries of Knowledge Question Answering.
• Utilize excellent problem-solving and analytic skills to tackle complex challenges.
• Engage in teamwork and maintain good interpersonal skills while building innovative products.

• 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.