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 display 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 several university chemical engineering departments. 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.
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Research Engineer - AI for Chemistry Responsibilities:
- 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 computational chemistry tools and capabilities: DFT, DFPT, GCMC, etc.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 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/or exposure to computational chemistry, material science, or scientific domains.
- Experience collaborating with partner teams.
- PhD in Computer Science, Chemical Engineering, Machine Learning, or similar fields of study.
- Publications in machine learning.
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.
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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.
$70.67/hour to $208,000/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.