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Meta · 23 hours ago

Research Scientist Intern, Computational Chemist (PhD)

United States

Internship

Remote

Intern

$7,313/mo - $12,134/mo

3+ years exp

Meta is a leading technology company focused on creating immersive experiences through augmented and virtual reality. The Research Scientist Intern, Computational Chemist (PhD) will collaborate with research teams to explore novel solutions for AR/VR devices, conduct independent research, and contribute to large-scale simulations and material discovery.

Computer Software

Comp. & Benefits

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

Qualification

PhD in relevant fieldFirst-principle simulationsMachine learningProgramming languagesLarge-scale simulationsMaterials database establishmentCross-functional communicationGenerative models trainingTeam collaboration

Required

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

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