Description
Meta is seeking Research Interns to join the FAIR Chemistry team. The Chemistry team develops AI-based methods to model the world at the atomic level. Chemistry and materials science applications include energy sustainability, drug discovery and new materials for display technologies.
Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. Advancing the state-of-the-art in AI for generative atomic world models. Developing datasets to train and test AI models for Chemistry.
Developing, training, and scaling AI models for Chemistry in PyTorch. Running large-scale chemistry simulations. Developing processes to feedback experimental results into chemistry models.
Efficiency optimization of classic and ML based chemistry software. Writing research papers and associated open source data and code releases.
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