Summary
Apple is a place where extraordinary people gather to do their best work. Just be ready to dream big. The 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, 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.
If you are the kind of student who is passionate about pursuing excellence, embracing challenges, enjoying work with others, and learning new things along the way, Apple is the right place for you!
Apple Brittles MQE overall manages 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 a reality product with statistics and systematic methodology in quality control and innovation in AIML application in mass production.
Description
Apple MQE is responsible for developing, applying, and maintaining quality standards for materials, processes, and products, solving quality engineering problems in a 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 misjudgment rate • Work with projects MQE to qualify and roll in inspection machines into mass production • Explain and present AIML analysis and technical model to a broad technical audience
Minimum Qualifications
* 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
* Clear and logical thinking
* Intern Duration 3~6 months full-time
* Working Location: Changsha/Shenzhen
* 90% of business travel at supplier factory
Preferred Qualifications
* Experienced in Python, and Tableau for dashboard/analysis tool development would be preferred.
* Fundamental knowledge of 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 Mas achine Learning(CNN, transformer, Object detection/Image classification.)
* Familiar with mechanical metrology system evaluation processes, such as GRR, Correlation, Stability, and Reliability.