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Research Scientist Intern, FAIR Chemistry (PhD)

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Meta

Apr 15

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
  • San Francisco

Requirements

  • 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 Qualifications:
  • Intent to return to 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.

Responsibilities

  • 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.

Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.