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Meta · 1 day ago

Research Scientist Intern, FAIR Chemistry

United States

Internship

Remote

Intern

$7,650/mo - $12,134/mo

Meta is seeking Research Interns to join the FAIR Chemistry team, which develops AI-based methods to model the world at the atomic level. The intern will be responsible for advancing AI in chemistry, developing datasets, training models, running simulations, and writing research papers.

Computer Software

Comp. & Benefits

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

Qualification

Machine LearningAI Model DevelopmentPythonDeep Learning FrameworksC++Data-Driven ModelsNeural Network ArchitecturesSoftware EngineeringAnalytical Problem SolvingTeam Communication

Required

Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Chemistry, Chemical Engineering, Physics, Artificial Intelligence, or relevant technical field

Experience applying artificial intelligence to a scientific domain such as computational photonics, computational design, computational chemistry, etc

Experience devising data-driven models and real-system experiments and design implementation for AI design and optimization

Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures

Experience with Python, C++, C, Julia, or other related language

Experience with deep learning frameworks such as Pytorch, Jax, or Tensorflow

Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred

Intent to return to the degree program after the completion of the internship/co-op

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, CVPR, ICCV, ICLR, or similar

Experience solving analytical problems using quantitative approaches

Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources

Experience in utilizing theoretical and empirical research to solve problems

Experience doing optimization based on machine learning and/or deep learning methods

Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Experience working and communicating cross functionally in a team environment