About the Role

Meta seeks a Research Scientist Intern for the FAIR Chemistry team to develop AI-based atomic world models. Responsibilities include advancing generative AI for chemistry, running simulations, and optimizing software. The role requires a PhD in progress and experience with AI in scientific domains.

Key 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
• Efficiency optimization of classic and ML based chemistry software

Required Skills & Qualifications

Must Have:

• 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 with Python, C++, C, Julia, or other related language
• Experience with deep learning frameworks such as Pytorch, Jax, or Tensorflow

Nice to Have:

• 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
• Experience solving analytical problems using quantitative approaches
• Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories

Benefits & Perks

• $7,650/month to $12,134/month + benefits
• Compensation determined by skills, qualifications, experience, and location
• Benefits package available