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Lensa, a top career site, is searching for a Research Engineer - AI for Chemistry to join Meta's team in New York. The role entails applying AI methods in material discovery, requiring strong knowledge in computational chemistry and machine learning. Collaborate closely with researchers to lead innovative projects aimed at productizing new materials across various scientific domains.
1 week ago Be among the first 25 applicants
Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in New York, NY. Apply via Lensa today!
Summary
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.
Required Skills
Research Engineer - AI for Chemistry Responsibilities:
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