10 hours ago
Research Engineer - AI for Chemistry
Menlo Park, CA, Seattle, WA, New York, NY, San Francisco, CA
Meta's Fundamental AI Research organization (FAIR) is developing AI-based methods to accelerate novel material discovery. In this position you will be joining the AI for Chemistry team doing this work. The material domains currently being worked on are electro-catalysts for CO2RR & OER, nano-porous materials for direct air capture, and new materials for display technologies.
You will be a researcher for AI modeling of crystalline materials. The role will be performed in close collaboration with computational and experimental chemists in Reality Labs Research and AI researchers in FAIR. You will be expected to provide technical leadership across large-scale ab-initio simulations, data generation and management for ML training, ML modeling, and applying ML models to material discovery.
The work being done will in some cases be published and open-sourced. This role may also be done jointly with various university academic collaborators. The aim of the work is to go end to end from computational discovery to productizing new materials, so you will have the opportunity to work across that entire lifecycle.
Research areas may include Machine Learning, Graph Neural Networks, Graph learning, Density Functional Theory, Computational chemistry, Optics, or other similar fields.
- Large scale distributed compute for applying AI to scientific applications in chemistry and material science.
- Developing, integrating and utilizing AI models in computational chemistry workflows.
- Developing or applying computational chemistry tools for dataset generation: DFT (VASP, ORCA, etc), DFPT (VASP, etc), GCMC, etc.
Minimum Qualifications
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- 1+ year of industry experience in Machine Learning, Graph Neural Networks, Graph learning, Density Functional Theory, Computational chemistry, Optics, or other similar fields.
- Research and engineering experience in Machine Learning or Artificial intelligence.
- Interest and experience with computational chemistry, material science, or scientific domains.
- Experience collaborating with partner teams.
Preferred Qualifications
- PhD in Computer Science, Materials Science, Machine Learning, or similar fields of study.
- Publications in machine learning
- Experience building very large ab-initio simulation datasets
- Experience testing and validating large AI/ML models for inorganic materials science
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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.
$56.25/hour to $173,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity
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