Manufacturing Quality Engineering Intern
Shenzhen, Guangdong, China
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Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways.Summary
Posted: Dec 24, 2024Weekly Hours: 40
Role Number:200567861
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 encourages 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. 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. 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 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.
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. 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
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% business travel at supplier factory.
Preferred Qualifications
- 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.
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Category:
Engineering Jobs
Tags: Classification Computer Science Computer Vision Data Mining Deep Learning Engineering Machine Learning Mathematics Python Tableau
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