Manufacturing Quality Engineer - intern - Machine Learning

Summary Posted: Dec 25, 2023 Weekly Hours: 40 Role Number: 200530096 Imaging what you could do here! At Apple, creative ideas have a way of becoming wonderful products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. In this highly visible and highly hands-on role, you will have the chance to create a significant impact on Apple Products and leave a footprint for years to come. We have an opportunity for an accomplished quality engineer to lead development, and ramp for cutting edge product designs. Key Qualifications Key Qualifications Can use Python/Tableau or other tools to have all data auto uploaded, linked and establish the database. Experienced on LLM(Large Language Model) and ML(Machine Learning) projects is preferred Ability to utilize data analysis tools. Ability to find the solution for the faced problem. Innovation, integrity, and can do attitude. Published Engineering Thesis, Invention Patent holder are preferred Ability to work with cross-functional teams in a dynamic environment. Be willing and able to travel based on work arrangement. Description Description Apple MQE is responsible for developing, applying and maintaining quality standards for materials, processes and products, solving quality engineering problems in creative and effective way. The MQE intern can become a part of MQE team and will be responsible to develop and deliver the result on automatic data management and machine learning for supporting smart factory initiative. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. Education & Experience Education & Experience Additional Requirements Additional Requirements Nice to have: Majored in Engineering /Computer Science/Software related Basic knowledge of machine learning and LLM(Large Language Model) Language skills: Excellent written and verbal communication skills, with good English.