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Research Scientist Intern, FAIR Chemistry

1 month ago

San Francisco, California, United States META Full time
Join Meta's FAIR Chemistry Team as a Research Scientist Intern

Meta is seeking highly motivated and talented individuals to join our FAIR Chemistry team as Research Scientist Interns. As a member of our team, you will have the opportunity to work on cutting-edge AI research and development, advancing the field of chemistry and materials science.

Responsibilities
  • Develop and implement AI-based methods to accelerate novel materials discovery
  • Design and develop datasets to train and test AI models for chemistry
  • Implement and optimize AI models for chemistry in PyTorch
  • Run large-scale chemistry simulations and analyze results
  • Develop processes to feedback experimental results into chemistry models
  • Optimize efficiency of classic and ML-based chemistry software
  • Collaborate with researchers and engineers to advance the field of chemistry and materials science
Requirements
  • Currently pursuing or has a Ph.D. degree in Machine Learning, Chemistry, Chemical Engineering, Physics, Artificial Intelligence, or relevant technical field
  • Experience applying AI to scientific domains 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 languages
  • Experience with deep learning frameworks such as PyTorch, Jax, or TensorFlow
Preferred Qualifications
  • 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
  • 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

Meta is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to providing reasonable support in our recruiting processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity, or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.