Shanghai, Shanghai, China
13 hours ago
Test Engineer - Machine Learning
SummaryPosted: Feb 10, 2025Weekly Hours: 40 Role Number:200589979Home Office: YesThe people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourage the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it. Imagine what you could do here. At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. With the growth of Apple, we have created new opportunities for individuals to work on the most exciting new products introduced by Apple. We are seeking individuals who meet the following criteria to join us. This position will work closely with various operations & engineering teams to create and develop innovative solutions via Machine Learning (ML) development for manufacturing test & factory test managementDescriptionDescriptionResponsible for leading test & inspection station design, development, and solution via machine learning with excellent reliability and scalability for operations Responsible for leading all the ongoing factory test & Inspection processes and procedures, for new product introduction from prototype to mass production. Specifying/implementing test and inspection process control and data collection, detailing all the ongoing test and inspection tasks. Interact with internal groups at Apple to ensure that tests are being performed adequately and on time. Be the key liaison between our organization and our Contract Manufacturers This position requires the ability to deal with dynamic and fast-paced environments requiring decision-making with ambiguous information.Minimum QualificationsMinimum QualificationsMS/PhD in Computer Science, Mathematics, Physics, or Electronics/Electrical Engineering with a minimum of 5+ years experience in machine learning research or development.Proven experience as a design or design validation engineer or relevant engineering experience and backgroundProven experience in modern machine learning pipelines and architectures. Understands data collection, machine learning modeling development, and run-time challengesExcellent understanding of statistics and machine learning technologies with hands-on solution experience in manufacturing applicationsKey QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsSolid understanding of HW/SW architecture and interoperability of a sophisticated system. Fundamental EE knowledge is a requirementExcellent analytical and problem-solving skillsExcellent interpersonal skills with proficient spoken and written in both English and ChineseProven track record of working in a quickly changing environment, independently and delivering high-quality solutions to tight schedulesSolid experience in multiple ML areas, including but not limited to parametric data mining, time series analysis and prediction, anomaly detection, image processing and recognition, Large-Language-Model (LLM) tuning, prompt engineering, Retrieval Augmented Generation (RAG), and Agent FrameworkEducation & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsMore
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