Research Scientist Intern, FAIR Chemistry

Meta; San Francisco (CA); On-site; USD 33,000 - 56,000; Full time

Job summary

Meta's FAIR Chemistry team invites Research Scientist Interns to help push AI for chemistry and materials science. You will develop and train AI models in PyTorch, build datasets, and run large-scale simulations to advance atomic world models.

The internship spans 12–24 weeks with flexible start dates throughout the year, offering hands-on research with real-world applications. You will collaborate across disciplines, contribute to open-source data, and publish findings while gaining mentorship

Qualifications

• Pursuing or obtained a Ph.D. in ML, Chemistry, Chemical Engineering, Materials Science, Physics, or related field.
• Experience applying AI to scientific domains such as computational chemistry or materials design.
• Strong research communication and collaboration skills.

Responsibilities

• Advance state-of-the-art in AI for generative atomic world models.
• Develop datasets to train and test AI models for Chemistry.
• Train and scale AI models for Chemistry in PyTorch.
• Run large-scale chemistry simulations.
• Develop processes to feedback experimental results into chemistry models.
• Optimize efficiency of chemistry software.
• Publish research papers and open source data/code releases.

Skills

AI/ML

PyTorch

Large-scale simulations

Scientific research

Education

Ph.D. degree in a relevant field

Tools

PyTorch

Job description

Research Scientist Intern, FAIR Chemistry# Research Scientist Intern, FAIR ChemistrySan Francisco, CA Research+ 1 moreApply nowMeta 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.---## Research Scientist Intern, FAIR Chemistry Responsibilities* 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.## Minimum Qualifications* Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Chemistry, Chemical Engineering, Materials Science, Physics, Artificial Intelligence, or relevant technical field* Experience applying artificial intelligence to a scientific domain such as computational photonics, computational design, computational chemistry, etc