AIML - Machine Learning Engineer, Answers, Knowledge & ...

Role Number: 200621581-3337SummaryDo you want to make Siri and Apple products smarter for our users? The Answers, Knowledge & Information team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on realtime augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user facing production services. We are part of a wider effort to power information across a variety of Apple products – including Siri, Spotlight, Safari, Messages, Lookup, and more.DescriptionAs a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills.You will be using and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents and generate helpful answers and work on horizontal areas on data generation, evaluation and safety.Minimum Qualifications BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience 5+ years of industry related experience, working in collaborative environments Experience with using: PyTorch, TensorFlow, or JAX for training and deploying deep learning models Understanding product requirements then translating them into modeling tasks and engineering tasks Proficient in at least two programming languages such as: C/C++, Go, Python, Java Preferred Qualifications Advance degree in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience Analyzing search ranking and relevance requirements issues and opportunities Building machine-learned models for search relevance ranking query understanding and questioning Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (.

Created: 2026-03-10