Manufacturing Quality Engineering Intern, Brittles

Descripción del puesto:

If you are the kind of students who are passionate on pursuing excellence, embracing challenges, enjoying work with others, learning new things along the way, Apple is the right place for you! Apple Brittles Manufacturing Quality Engineering team (MQE) overall manage almost all the product/material quality in iPhone, iPad, Watch, Mac or any small parts that are made from glass, ceramic, sapphire or any brittle material. We closely work together with Apple PD, ID and our vendors to enable the fantastic design into reality product with statistic and systematic methodology in quality control and innovation in AIML application in mass production.
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. * Dashboard/quality tool development using Tableau or Python * Use machine learning/deep learning model/Data mining to train the AOI and reduce the mis-judgment rate * Work with projects MQE to qualify and roll in inspection machines into mass production * Explain and present AIML analysis and technical model to broad technical audience
Master or above, Mechanical Engineering & Automation/Computer Science/Industry Design/Applied Mathematics/Optics and Fine Mechanics or equivalent major is preferred Excellent written and oral English communication skills Intern Duration 3~6 months full-time Working Location: Changsha/Shenzhen 90% business travel at suppliers' factories
Clear and logical thinking Experienced in Python, Tableau for dashboard/analysis tool development would be preferred Fundamental knowledge on computer vision / machine learning techniques to build models that are deployable into a manufacturing environment(AOI) with some time in project management Technical skills in Machine or Computer Vision as well Machine Learning(CNN, transformer, Object detection/Image classification..) Familiar with mechanical metrology system evaluation process, such as GRR, Correlation, Stability and Reliability