Material Scientist, Computational Chemistry
Meta

At Meta's Reality Labs Research, our goal is to make world-class consumer virtual, augmented, and mixed reality experiences. Come work alongside industry-leading scientists and engineers to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. As a Material Scientist at Meta, you will play a critical role in developing novel materials for AR/VR optics. You will focus on developing advanced materials and devices for near eye displays, and will become part of a team exploring novel concepts through modeling, design and fast iterative prototyping. We are seeking for someone who works well in a highly collaborative, cross-functional environment, who communicates complex concepts clearly and succinctly, who demonstrates scientific rigor, who is unafraid to tackle new challenges, and who works well in high-ambiguity discovery phases. If you are passionate about using your generalist-head to push the boundaries of what is possible, we want you on our team.

Material Scientist, Computational Chemistry Responsibilities:

• Develop quantum mechanical and molecular mechanical computational capabilities for liquid crystal and polymer material discovery.
• Collaborate with AI/ML teams to predict and design novel liquid crystals and polymers.
• Guide external partners to formulate novel materials for proof of concept and scale-up production.
• Collaborate with internal cross-functional teams to achieve success from R&D to product.
• Develop novel polarization optics in AR/VR.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Ph.D. degree or equivalent experience in the field of computational chemistry, computational physics, organic chemistry, or a related field.
• 3+ years of experience in utilizing/developing computational methods for organic materials, ground-state and excited-state properties.
• Experience implementing Quantum Mechanical calculations using commercial softwares like VASP, Gaussian, FHI-aim, Jaguar and/or open-source software packages such as Orca, QE, NWChem, etc.
• Experience implementing Molecular Mechanical calculations using commercial softwares like Desmond and/or open-source software packages such as LAMMPS, HOODE, OpenMM, etc.
• Experience with Machine Learning including GNNs for material discovery.
• Experience solving analytical problems using analytic and quantitative approaches.
• Experience with internal and external cross-functional team collaboration, and communicating research to audiences with different backgrounds.
• Experience coding in C/C++, Python, C#, or similar languages.

Preferred Qualifications:

• Experience developing modeling approaches for liquid crystals, polymers and mesophases.
• Experience in organic materials synthesis, formulation and characterization.
• Experience with polarization optics.
• Proven track record of research via first-authored publications at top tier peer-reviewed conferences or journals.

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