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See allAbout 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.