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About the Project:

  • Contribute to an AI training project involving computational materials science, modeling, and simulation.
  • Work on creating, solving, reviewing, and validating engineering tasks related to material properties and simulations.

Responsibilities:

  • Create material structures, atomic configurations, and solver-ready inputs.
  • Run atomistic, electronic-structure, molecular-dynamics, or continuum simulations using programmatic tools.
  • Analyze mechanical, thermal, electrical, or electrochemical properties and validate outputs.

Qualifications:

  • Hold an MS or PhD in Materials Science, Metallurgy, or a related discipline with strong materials expertise.
  • Have practical proficiency with Python and experience with CLI-accessible scientific tools.
  • Ability to distinguish computational failures from genuine physical behavior and explain technical limitations.

Compensation and Process:

  • Compensation is output-based; you are paid per task meeting project specifications.
  • Submit your application, complete an AI interview, a technical assessment, and a manager review.
  • Start immediately; first task expected within 24–48 hours of onboarding.

Confidential

They are a venture-backed AI company that combines human expertise with machine learning to advance AI systems. Backed by over $40 million, they work with a global network of professionals in a fast-paced, innovative culture.

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