Crop Model Scientist

About Cibo Cibo Technologies is a Computational Agronomy company on a mission to transform agriculture and environmental sustainability. Our technology simulates farming: a dynamic system of complex interactions between soil, weather, crop plants and management practices. A renaissance in AgTech has brought us detailed remote sensing data and precision farming equipment, and Cibo’s mechanistic models are the key to reverseengineering and optimizing farming as an integrated whole. Cibo helps farmers maximize their harvests and minimize unnecessary impact on the environment. We’re using that same technology to manage risk in crop insurance, predict commodity price fluctuations, improve crop testing and value farm land. Role Description As a Crop Model Scientist at Cibo you’ll be part of a collaborative team of developers, data scientists, agronomists, and remote sensing experts. You will help build customer facing applications and our core platform to create, improve and scale agricultural models and optimization. Our culture is built on cross-disciplinary collaboration, learning, and rapid prototyping. As engineers we believe in types, tests, functional programming and automation. Our major platform is built on Scala in AWS, with sprinklings of R and C++. Cibo is a science-based company, so prepare to learn and invent with us! Software is a creative process and we welcome non-traditional and diverse candidates to apply. Qualifications • Solid foundation in plant physiology with particular emphasis on agriculture and current agronomic best practices • Significant experience with modeling crop development phases, growth, stresses, and interactions with biotic and abiotic factors, especially creation of models with differentiated behavior for economically important crops • Strong programming skills in at least one of an object oriented {Scala, Java, C++, C#, Python, etc}, functional programming {Scala, C#, Haskell, OCaML/SML, Erlang, Clojure, etc}, or a strongly typed language {Scala, Java, C++, C#, Haskell, etc} • Excellent collaboration skills Bonus Qualifications We would be additionally excited (but not required) that you have any of the following: • Fundamental knowledge of soil properties and processes • Modeling of soil-plant and landscape-level interactions • Understanding of professional software engineering, including automated testing, pair programming, refactoring, and databases • Experience with Bayesian statistics, math or classical statistics • Experience with image processing, computer vision or remote sensing About Flagship VentureLabs VentureLabs (VL) is a unique program of FlagshipVentures, a leading VC firm with ~$1.5 billion under management. VL crafts it’s own companies to seize exciting opportunities in the market by building world-class management teams backed by healthy funding. Engineers and other team members can remain part of the VL family of companies for more than a decade, providing a more stable environment with all the benefits of a startup.