Meta
Research Scientist Intern, FAIR Chemistry
San Francisco, CA · Internship · Posted Oct 22, 2026
- Experience
- No specific number of years stated.
- Education
- 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 a relevant technical field.
- Visa sponsorship
- Must obtain work authorization in the country of employment by the time of hire and maintain it during employment.
About the job
Conduct research on AI methods for chemistry, including generative atomic-world models, chemistry simulations, and model development and evaluation.
What you'll do
- Develop datasets and train, scale, and optimize AI models and chemistry software.
- Run large-scale chemistry simulations and develop ways to incorporate experimental results into models.
- Write research papers and release associated open-source data and code.
What they ask for
- Currently has or is pursuing a Ph.D. in a listed or relevant technical field.
- Experience applying AI to a scientific domain and devising data-driven models with real-system experiments or design implementation.
- Experience with scalable machine learning, resource-efficient AI scaling, or neural network architectures.
- Experience with a programming language and a deep learning framework; must have work authorization in the country of employment and intend to return to the degree program after the internship.
Pay
$7,650/month to $12,667/month (monthly amount; base salary or total pay not specified)
Tools
PyTorch, Python, C++, C, Julia, Pytorch, Jax, Tensorflow
AI focus
Research and develop AI for chemistry, including generative atomic-world models, chemistry datasets and simulations, scalable model training, and incorporating experimental results into models.
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