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Research Scientist Intern, Computational Chemist (PhD)

Meta
Posted 3 months ago, valid for 16 days
Location

Redmond, King 98073, WA

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Meta Reality Labs is seeking an intern to collaborate with researchers and engineers in the field of virtual and augmented reality.
  • Candidates must be pursuing a Ph.D. in Materials Science & Engineering, Physics, Chemistry, or a related field, and have at least 3 years of experience in relevant research areas.
  • The internship lasts between 12 to 24 weeks, with various start dates available throughout the year.
  • The position requires experience in first-principle simulations, machine learning, and programming languages such as Python and C++.
  • Salary details are not specified, but candidates are expected to maintain work authorization in the country of employment.
Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Responsibilities

  • Collaborate with the larger Meta Reality Labs Research team to explore novel solution space for AR/VR devices
  • Collaborate with the larger Fundamental AI Research team to train and utilize AI models for materials discovery and candidate material identification
  • Explore & propose various approaches of first-principle simulations to understand the optical, electronic or mechanical properties of crystalline systems with complex interactions and external perturbations
  • Conduct independent research and explore the broader application space given simulation results
  • Contribute to and utilize internal/external tools to perform large-scale simulations
  • collect & analyze results to guide further iterations to refine simulation pipelines
  • Publish research results internally and contribute to solving other challenges that can be applied to Meta product development


Minimum Qualifications

  • Currently has or is in the process of obtaining a Ph.D. degree in Materials Science & Engineering, Physics, Chemistry, or relevant technical fields
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • 3+ years of experience in at least one of the following areas of research: first-principle simulations especially DFT, DFPT, GW-BSE, CCSD, for atomistic systems at scale
  • 3+ years of experience studying atomistic systems with machine learning
  • 3+ years of experience with programming languages such as Python, C++
  • Intent to return to the degree program after the completion of the internship/co-op


Preferred Qualifications

  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops and/or conferences such as APS, ACS and similar
  • Experience working and communicating cross functionally in a team environment
  • Experience with user-oriented productionization of AI agents/services
  • Experience with large-scale materials database establishment
  • Experience with training generative models to produce atomistic structures



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