Computational Chemist - Machine Learned Force Fields, Material Discovery
SandboxAQ is hiring for Computational Chemist - Machine Learned Force Fields, Material Discovery in United States. Remote, Mid level. First seen October 27, 2026; open as of November 12, 2026. Jobs taken straight from company career pages — no aggregator in between.
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- Company
- SandboxAQ
- Where
- United States
- Arrangement
- Remote
- Level
- Mid
- First seen
- October 27, 2026
- Listed via
- Ashby
What the posting says
This role is for the PFAS team which sits within SandboxAQ's Chemical Simulation (ChemSim) group. Our mission is to develop PFAS-lean or PFAS-free substitutes and formulations for semiconductor process and fab materials that meet both performance specifications and environmental and safety requirements in complex semiconductor manufacturing environments. We combine generative ML, physics based simulation (e.g. DFT and molecular dynamics), Large Quantitative Models for property prediction, and multi-scale modeling with a partner driven experimental validation loop. You will work alongside…
Read more and apply on SandboxAQ's site
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