Job Description

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 Computational Chemist at Meta, in our Optics & Display Research group (O&DR), you will play a critical role in developing AR/VR systems. You will focus on developing advanced materials, process and devices for near eye displays, and will become part of a team exploring novel concepts through design, modeling, and fast iterative prototyping. We are seeking 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.

Computational Chemist Responsibilities:

• Play a critical role in developing/identifying new materials and process for AR/VR systems.
• Develop/utilize advanced computational models including ab-initio ground state and excited state calculations to identify potential materials and process for optical and electrical applications.
• Support the team exploring novel concepts through design, modeling, and fast iterative prototyping.
• Develop and implement research agendas, apply high standards to the research, and develop an ability to identify highly impactful projects in a complete and unexplored domain.
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• PhD degree or equivalent experience in Computational Physics, Computational Chemistry, or a similar field.
• 3+ years of experience utilizing/developing computational methods for material discovery
• Experience implementing Quantum mechanical calculations using commercial softwares like VASP, Gaussian, FHI-aim and/or open-source software packages such as QE, Orca, NWChem, etc.
• Research background in small organics, ground-state and excited-state properties.
• Experience with Machine Learning including GNNs for material discovery.
• Experience solving analytical problems using analytic and quantitative approaches.
• Experience communicating research to audiences with different backgrounds.
• Experience coding in C/C++, Python, C#, or other similar languages.
  
  

Preferred Qualifications:

• Experience having first-authored publications at top tier peer-reviewed conferences or journals.
• Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
• Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.
• Experience communicating research for public audiences of peers.
• Experience working and communicating cross functionally in a team environment.
• Experience developing beyond DFT approaches such as GW and GW-BSE.
• Experience with multiscale modeling of charge transport in organic materials including QMMC, KMC, drift-diffusion, etc.
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.