Posted on October 2, 2020Active
Design and build Citrine’s scalable smart data infrastructure and AI platform powering development & discovery of next-generation materials and chemicals.
At Citrine, we’re changing the way new materials are developed.
We are the industry leader in materials informatics, the application of data-driven methods to materials and chemicals development. Our platform provides data management and AI tools that help our customers rapidly develop better, more sustainable materials. Our users are scientists and engineers at huge manufacturing and materials companies, and researchers at leading universities and government labs. Our platform enables our users to accelerate the development of new materials.
In 2020 Citrine was recognized for technology innovation by the Global CleanTech Group and was named one of the most promising AI startups by CB Insights. As a team, we are ambitious with our goals, passionate about our vision, and eager to grow and learn from each other. Our team is growing fast and looking for the best to join us.
Though our technology was originally built by materials scientists, our team now consists of professionals trained in a diverse set of fields, including data science, physics, biology, and computer science. We have offices in the San Francisco Bay Area, Chicago, and Pittsburgh, and our customers include Fortune 1000 materials and product companies.
About the Role
You will collaborate with amazing engineers and scientists on user-facing product features that help our customers achieve incredible research breakthroughs. 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
Projects you’ll work on
What you’ll do
Skills and Qualifications
Preferred Skills and Qualifications
Citrine Informatics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, or national origin.
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