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🚀 Internship

CTO AI Research Intern - Advanced Degree

🚀 Off-cycle Internship

San Francisco

⌛ Closed

AI generated summary

  • The candidate must be enrolled in an advanced degree program, have a good academic standing, and preferably be studying materials science, chemistry, physics, or engineering. They should also possess knowledge and interest in engineering for Generative AI tools.
  • The CTO AI Research Intern - Advanced Degree at Applied Materials will be responsible for testing and providing feedback on a Generative AI research tool, engineering prompts, improving the tool for internal engineers, establishing evaluation processes, and creating engagement plans for broader adoption.
Applications are closed

Off-cycle Internship

Science, EngineeringSan Francisco

Description

  • Applied's CTO organization is seeking a science / engineering student who is also interested in Generative AI tools. The candidate should be able to display an understanding of technologies and processes that are relevant to Applied Materials tools/products. The candidate should understand and be familiar with Generative AI chat tools and how to engineer prompts.

Requirements

  • Currently enrolled in an Advanced Degree (Masters or PhD) program at the time of the internship
  • Good academic standing with a preferred GPA of 3.0 or above on a 4.0 scale 
  • Fields of study preferred:  Materials Science, Chemistry, Physics, and Engineering
  • Knowledge and interest in prompt engineering for Generative AI tools

Education requirements

Currently Studying
Masters
PhD

Area of Responsibilities

Science
Engineering

Responsibilities

  • Use and test a Generative AI research tool
  • Use Materials Science background to engineer prompts to test the tool
  • Provide detailed and substantive feedback to development team
  • Provide ideas to improve the tool for internal engineers
  • Recommend processes for ongoing evaluation and quality control of the AI research tool
  • Create engagement plans for broader adoption and use

Details

Work type

Full time

Work mode

office

Location

San Francisco