SWE - LLM Intern, WTE

at  Apple

München, Bayern, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate25 Jan, 2025Not Specified26 Oct, 2024N/AMachine Learning,Computer ScienceNoNo
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Description:

SUMMARY

Posted: Oct 23, 2024
Weekly Hours: 40
Role Number:200575252
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.

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.

  • Strong background in machine learning and LLMs
  • Strong programming skills in Python, and/or Swift
  • Strong communication and problem-solving skillsBasic knowledge of Kubernetes, Hadoop, and/or Impala is a plus

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PREFERRED QUALIFICATIONS

  • Currently pursuing Masters or PhD in Computer Science or Machine Learning related research field

Responsibilities:

  • Strong background in machine learning and LLMs
  • Strong programming skills in Python, and/or Swift
  • Strong communication and problem-solving skillsBasic knowledge of Kubernetes, Hadoop, and/or Impala is a plu


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Application Programming / Maintenance

Software Engineering

Phd

Proficient

1

München, Germany