Principal Engineer at Citrine Informatics

Posted on: 11/02/2021

Location: Remote within USA and Canada (ON-SITE)

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Citrine Informatics is revolutionizing how raw materials and chemicals are produced by empowering companies to develop them faster and more sustainably. Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization (2019). at <https://arxiv.org/abs/1911.03224> Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery (2018). at <https://doi.org/10.1039/C8ME00012C> Overcoming data scarcity with transfer learning. (2017). at <https://arxiv.org/abs/1711.05099> High-Dimensional Materials and Process Optimization Using Data-Driven Experimental Design with Well-Calibrated Uncertainty Estimates. (2017). at <https://doi.org/10.1007/s40192-017-0098-z> Learn more at: <https://jobs.lever.co/citrineinformatics>