MQA Intern at Apple

Shenzhen, Guangdong, China -

Full Time

Start Date

Immediate

Expiry Date

10 Feb, 26

Salary

0.0

Posted On

12 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Optimization, Python, Anomaly Detection, Commonality Analysis, Robotic Process Automation, Machine Learning, TensorFlow, PyTorch, RPA Solutions, Web Automation, Data Extraction, Scikit-learn, AutoML, Cloud Computing, Problem Solving

Industry

Computers and Electronics Manufacturing

Description

Imagine what you could do here! At Apple, wonderful ideas 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. At Apple, we don’t just build products — we create the kind of wonder that’s revolutionized entire industries. It’s the diversity of our people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. We invite you to join us on this venture and help us leave the world better than we found it! Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. DESCRIPTION As a MQA Intern focusing on data analysis and optimization, you will work closely with the team to understand data-driven challenges and analysis needs. Our primary focus is developing applications such as algorithms research, workflow optimization, predictive analytics, and other data-driven tools that empower the MQA team to streamline workflows, enhance efficiency, and reduce costs. Your contributions will directly impact the success of our projects, and your innovative thinking will help shape the future of AI in the manufacturing industry. MINIMUM QUALIFICATIONS Foundational knowledge in mathematics and statistics is required. Working knowledge of Python and experience in data analysis, anomaly detection, and commonality analysis. Strong understanding of robotic process automation (RPA) & machine learning (ML) methodologies. Familiarity with ML frameworks like TensorFlow or PyTorch for developing and deploying models. PREFERRED QUALIFICATIONS Demonstrated experience in developing and deploying RPA solutions, specifically using Python libraries such as Selenium for web automation and data extraction. Proficiency in the Python data science ecosystem, with strong hands-on experience in Scikit-learn for model building and familiarity with AutoML tools or platforms. Understanding of the manufacturing industry and its challenges is a plus. Experience with cloud-based computing platforms like AWS/GCP/Ali-Cloud is a plus. Strong problem-solving and analytical skills, with a focus on real-world applications. Excellent communication and collaboration skills, able to work effectively in a team environment.

Responsibilities

As a MQA Intern, you will focus on data analysis and optimization, working closely with the team to address data-driven challenges. Your contributions will help streamline workflows and enhance efficiency in the manufacturing industry.