Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
As a Director of Applied Science, you will lead a team of scientists and applied mathematicians developing Citrine’s core machining learning technology, utilized by our customers to develop the next generation of materials for a more sustainable world.
About Citrine
At Citrine, we’re ushering in the next generation of sustainable, high-performing materials and chemicals.
We are the industry leader in AI for materials and chemicals. Our platform provides data management and Artificial Intelligence (AI) tools that help our customers rapidly develop higher performing, more sustainable materials. Our users are scientists and engineers at market-leading manufacturing and materials companies and we collaborate with professors and researchers from world-renowned institutions on cutting-edge research at the intersection of AI and the physical sciences.
In 2021 and 2020, Citrine was recognized for our impact on sustainability by the Global CleanTech Group. We earned a spot on both the CB Insights AI 100 List and the Inc. 5000 list of fastest-growing private companies in the US. In 2021, we also gained our third patent for materials-specific ML technology. 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.
Our Platform gives product developers, researchers, and engineers access to cutting-edge, domain-specific AI, all without writing a line of code. This enables our customers to discover and deploy the next generation of sustainable, high-performing materials and chemicals up to 98% faster than traditional R&D approaches. We have employees across the country including the San Francisco Bay Area, Chicago, Pittsburgh, Boston, and Raleigh-Durham areas, and our customers include multiple Fortune 100 materials, product, and manufacturing companies.
About the Role
This is a leadership role for our science engineering team, operating at the cutting edge of statistical learning theory and applications. You’ll work across stakeholders at Citrine and own our fundamental predictive modeling technology roadmap. You’ll also be responsible for hiring, mentoring, and growing our applied science and research engineers.
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/C8ME00012COvercoming 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
Skills and Experience
Preferred Skills and Experience
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.
United States
0-2 year