tiacitrine
We bring machine learning solutions to global materials science challenges. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with innovative companies in the $80Tn materials market, making the development tradeoffs that will impact our planet for generations to come.
We’re looking for talented software engineers interested in data and empirical science to build the ML platform the world uses to develop materials sustainably.
Tech Stack Includes: Java, Python, Scala, Typescript, React, Cucumber, Jest, Sketch, Storybook
Benefits Include: equity, $5k annual professional growth budget, paid medical/dental/vision, parental leave, flexible PTO.
Apply here: https://citrine.io/careers/
We bring machine learning solutions to global materials science challenges. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with innovative companies in the $80Tn materials market, making the development tradeoffs that will impact our planet for generations to come.
We’re looking for talented software engineers interested in data and empirical science to build the ML platform the world uses to develop materials sustainably.
Tech Stack Includes: Java, Python, AWS, PostgreSQL, OpenAPI3, Scala, React, Typescript
Benefits Include: equity, $5k annual professional growth budget, paid medical/dental/vision, parental leave, flexible PTO.
Apply here: https://jobs.lever.co/citrineinformatics
We bring machine learning solutions to global materials science challenges. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with innovative companies in the $80Tn materials market, making the development tradeoffs that will impact our planet for generations to come.
We’re looking for talented software engineers interested in data and empirical science to build the ML platform the world uses to develop materials sustainably.
Tech Stack Includes: Java, Python, Scala, Swagger/OpenAPI, Akka HTTP, Slick, Postgres, SQL
Benefits Include: equity, $5k annual professional growth budget, paid medical/dental/vision, parental leave, unlimited PTO.
Apply here: https://jobs.lever.co/citrineinformatics/5f2705fb-a181-4c8f-...
We bring machine learning solutions to global materials science challenges. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with innovative companies in the $80Tn materials market, making the development tradeoffs that will impact our planet for generations to come.
We’re looking for talented software engineers interested in data and empirical science to build the ML platform the world uses to develop materials sustainably.
Tech Stack Includes: Java, Python, AWS, PostgreSQL, OpenAPI3, Scala
Benefits Include: equity, $5k annual professional growth budget, paid medical/dental/vision, parental leave, unlimited PTO.
Apply here: https://citrine.io/careers/
We bring machine learning solutions to global materials science challenges. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with innovative companies in the $80Tn materials market, making the development tradeoffs that will impact our planet for generations to come.
We’re looking for talented software engineers interested in data and empirical science to build the ML platform the world uses to develop materials sustainably.
Tech Stack Includes: Java, Python, AWS, PostgreSQL, OpenAPI3, Scala, Terraform
Benefits Include: equity, $5k annual professional growth budget, paid medical/dental/vision, parental leave, unlimited PTO.
Apply here: https://citrine.io/careers/
We bring machine learning solutions to global materials science challenges. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with innovative companies in the $80Tn materials market, making the development tradeoffs that will impact our planet for generations to come.
We’re looking for talented software engineers interested in data and empirical science to build the ML platform the world uses to develop materials sustainably.
Tech Stack Includes: Scala, Python, AWS, PostgreSQL, OpenAPI3, Java
Benefits Include: equity, $5k annual professional growth budget, paid medical/dental/vision, parental leave, unlimited PTO.
Apply here: https://citrine.io/careers/
Feel free to email me with questions! I can be reached at [email protected]
We bring machine learning solutions to global materials science challenges. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with innovative companies in the $80Tn materials market, making the development tradeoffs that will impact our planet for generations to come.
We’re looking for talented software engineers interested in data and empirical science to build the ML platform the world uses to develop materials sustainably.
Tech Stack Includes: Python, AWS, PostgreSQL, OpenAPI3, Java, Scala, Typescript
Benefits Include: equity, $5k annual professional growth budget, paid medical/dental/vision, parental leave, unlimited PTO.
Apply here: https://citrine.io/careers/
Feel free to email me with questions! I can be reached at [email protected]
We bring machine learning solutions to global materials science challenges. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with innovative companies in the $80Tn materials market, making the development tradeoffs that will impact our planet for generations to come.
We’re looking for talented software engineers interested in data and empirical science to build the ML platform the world uses to develop materials sustainably.
Tech Stack Includes: Scala, Python, AWS, PostgreSQL, OpenAPI3, Java
Benefits Include: equity, $5k annual professional growth budget, paid medical/dental/vision, parental leave, flexible PTO.
Apply here: https://citrine.io/careers/
We bring machine learning solutions to global materials science challenges. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with innovative companies in the $80Tn materials market, making the development tradeoffs that will impact our planet for generations to come.
We’re looking for talented software engineers interested in data and empirical science to build the ML platform the world uses to develop materials sustainably.
Tech Stack Includes: Scala, Python, AWS, PostgreSQL, OpenAPI3, Java
Benefits Include: equity, $5k annual professional growth budget, paid medical/dental/vision, parental leave, unlimited PTO.
Hiring for Senior + Principal engineers, and more. Apply here: https://citrine.io/careers/
Feel free to email me with questions or if you are interested in the Backend, AI Engine role! I can be reached at [email protected]
We solve global materials science challenges using the power of data. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with the innovative companies making the development tradeoffs that will impact our planet for generations to come. We provide the platform they use to develop materials with sustainability in mind, faster than ever before.
Tech Stack Includes: Scala, AWS, Python, PostgreSQL, OpenAPI3, Jenkins, DynamoDB
Benefits Include: Equity, $5k annual professional growth budget, Paid medical/dental/vision, parental leave, unlimited PTO.
Apply here: https://citrine.io/careers/
If interested in DevOps at Citrine, please email me directly at [email protected]
We solve global materials science challenges using the power of data. From green plastics to lighter more efficient cars, to better batteries, to less toxic dyes for clothing – the future of our planet hinges on how we create the next generation of materials and chemicals. We work directly with the innovative companies making the development tradeoffs that will impact our planet for generations to come. We provide the platform they use to develop materials with sustainability in mind, faster than ever before.
Tech Stack Includes: Scala, AWS, Python, PostgreSQL, OpenAPI3 Benefits Include: Equity, $5k annual professional growth budget, Paid medical/dental/vision, parental leave, unlimited PTO.
Hiring for senior + principal engineers, technical product managers, and more. Apply here: https://citrine.io/careers/
Feel free to email me with questions! I can be reached at [email protected]
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
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
Citrine Informatics is a fast growing late Series B B2B Saas startup. Our mission is to empower companies to make raw materials and chemicals faster and with sustainability top of mind. As an Engineer at Citrine you'll help design and build Citrine’s scalable smart data infrastructure and AI platform powering development and discovery of next-generation materials and chemicals.
Our Stack: Scala, Python, Java, React/Redux, MySQL, AWS, Elasticsearch, Redis, Swagger, Typescript Tests/Design
Please check out our careers page to learn more and apply https://citrine.io/careers/.
We're also happy to answer questions! Please email Tia to learn more at [email protected].
Sr. Backend/Frontend roles Remote within USA and Canada Full Time
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
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
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
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
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
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
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
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
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