Machine Learning Intern - Cellular
Job Description
Summary
Within Apple’s Wireless Technologies & Ecosystems organization (WTE), you will work with multi-functional teams to drive innovation and develop products used by millions worldwide. Apple’s fully-integrated hardware and software provide unique opportunities to deliver amazing experiences, all while prioritizing user privacy. We applies latest technologies including, but not limited to AI/ML to our development.
As an intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research, challenge existing metrics or protocols, and develop new tools that will help build the world's most innovative products and user experiences.
As an intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research, challenge existing metrics or protocols, and develop new tools that will help build the world's most innovative products and user experiences.
Description
You will collaborate with engineers, and project managers to tackle innovative challenges. You will receive technical mentorship and guidance that allows you to learn new things, gain practical skills, build real world experience, develop a greater understanding of our industry.
Together, you will partner to design and implement an innovative solution for Apple Cellular problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to leadership team.
Together, you will partner to design and implement an innovative solution for Apple Cellular problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to leadership team.
Minimum Qualifications
- Working toward a graduate or doctoral degree in computer science, Electronics & Communication Engineering, data science, or equivalent.
- Strong interpersonal communication skills.
Preferred Qualifications
- Experience with various facets of data mining, deep learning;
- Practical knowledge related to building and adapting algorithms for machine learning;
- Programming experience in one or more of the following: Python, Java, C/C++, or equivalent;
- Problem-solving skills and ability to collaborate with others;
- Basic knowledge of TCP/IP stack;
- Basic knowledge of 4G/5G;
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