About The Position

We are seeking a Research Intern with a background in Product or Mechanical Design, and Artificial Intelligence to join our Metaverse Display & Optics Engineering team. In this role, you will develop a custom AI product design co-pilot tool, specifically tailored for Display & Optics design in VR and Wearables products. This project aims to significantly enhance productivity and accelerate innovation within Meta’s Display & Optics mechanical engineering teams by integrating common design rules, key parameters, materials databases, and Design for Manufacturability (DFM) guidelines into a next-generation, AI-powered design platform. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Requirements

  • Currently has, or is in the process of obtaining a PhD in Mechanical Engineering, Product Design, Computer Science, Artificial Intelligence, or a related field
  • Demonstrated experience in advanced AI/ML models and methodologies
  • Foundation in mechanical engineering fundamentals and proven proficiency in product design, particularly with Siemens NX or other industry-standard CAD/CAE tools
  • Must obtain work authorization in the country of employment at the time of hire, and maintain on-going work authorization during employment
  • Intent to return to degree program after the completion of the internship/co-op

Nice To Haves

  • Experience working and communicating cross functionally in a team environment
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences

Responsibilities

  • Review and summarize mechanical design common Display & Optics design rules across optical systems, ET/FT, display module, and varifocal systems
  • Compile and organize materials properties and databases, including mechanical and optical characteristics
  • Design and build a custom CAD AI co-pilot module for D&O mechanical engineers
  • Integrate D&O module design rules, parameters, and materials database into the AI co-pilot
  • Incorporate FPC common design rules to enhance module functionality
  • Work closely with the Meta NX team to align on requirements and implementation.
  • Present findings, progress, and summary to stakeholders throughout the internship
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