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Microsoft Senior Researcher Materials - AI Science 
Taiwan, Taoyuan City 
448070504

Today
Qualifications

Required:

  • PhD in machine learning, computational materials science, or related area, or comparable industry experience.
  • Experience in developing machine learning force fields.
  • Proficiency in collaborative code development in Python on shared codebases.
  • Publication track record in relevant academic journals (npj computational materials, PRB, PRL, etc.) or top-tier conferences (NeurIPS, ICML, ICLR, etc.).
  • Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts tonon-experts from different technical backgrounds.

Preferred:

  • Experience in developing large scale foundational machine learning force fields.
  • Experience in evaluating machine learning force fields for real-world tasks.
  • Experience in designing and producing large scale datasets for machine learning force fields.
Responsibilities
  • Design and implement novel neural network architectures for training foundational machine learning potentials.
  • Improve the inference speed of machine learning potentials and scale them to large systems.
  • Design and implement pipelines to evaluate machine learning potentials for real-world tasks.
  • Design and generate novel datasets for training foundational machine learning potentials.
  • Prepare technical papers, presentations, and open-source releases of research code.