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Apple engineers have always focused on one person when they build software — the person who will use it. Working with them, you’ll see why every Apple product and service feels intuitive and simple, and why every aspect of this group’s work is built around respect for the customer’s needs. Wireless Technologies & Ecosystems (WTE) team is looking for a highly qualified & self-motivated Intern with a passion for SW development & test automation. You will work on developing tools and frameworks to support full automation. We are passionate about wireless technology and work closely with developers across Apple, worldwide.
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Homeoffice: Nach Absprache
Summary
Posted: Weekly Hours: 40 Role Number:200575252Apple engineers have always focused on one person when they build software — the person who will use it. Working with them, you’ll see why every Apple product and service feels intuitive and simple, and why every aspect of this group’s work is built around respect for the customer’s needs. Wireless Technologies & Ecosystems (WTE) team is looking for a highly qualified & self-motivated Intern with a passion for SW development & test automation. You will work on developing tools and frameworks to support full automation. We are passionate about wireless technology and work closely with developers across Apple, worldwide.
Description
In this role, you will be responsible for crafting and building innovative tools and frameworks that apply LLMs for sophisticated tasks to improve productivity and efficiency. You will partner with outstanding engineers who develop the next generation of wireless solutions and automation frameworks in a work environment that provides opportunities to innovate, share and develop ideas in an open forum.Minimum Qualifications
- Strong background in machine learning and LLMs
- Strong programming skills in Python, and/or Swift
- Strong communication and problem-solving skills
- Basic knowledge of Kubernetes, Hadoop, and/or Impala is a plus
Preferred Qualifications
- Currently pursuing Masters or PhD in Computer Science or Machine Learning related research field
Anstellungsart
Praktikum
Homeoffice
Nach Absprache