Food production needs a moonshot. Climate change, disease and pests mean that the pressures to grow more food on less land, continue to grow. X is exploring a range of ways ML and new technologies could be used to help address these challenges.
X is a moonshot factory where uncomfortably ambitious, potentially world-changing new ideas such as self-driving cars, balloon-powered Internet and smart contact lenses are developed and taken out into the world. X projects have the potential to transform the lives of billions of people and make the world a radically better place. We’re a team of makers, entrepreneurs, engineers and scientists with deep technical expertise who love the challenge of the seemingly impossible. X was formerly known as Google[x].
Design and apply both ML and statistics based decision-making agronomic tool.
Collaborate with hardware and machine learning experts to explore new methods for understanding and optimizing plant growing environments.
Conduct relevant academic literature reviews and stay abreast of relevant work in the research community. Summarize findings on a monthly basis and lead internal investigations into areas of interest.
Build relationships with leading public research organizations in appropriate domains and be the industry expert representing the team’s capabilities to partners and customers.
Represent the “voice of the breeder, grower, or farmer” and lead experimental design development for each project.
Bachelor's degree in Biostatistics, Bioinformatics, Agronomy or equivalent practical experience.
3 years of work or research experience in applied agricultural technology.
Programming experience in R, Python.
Familiarity with farming and/or precision agriculture.
Familiarity with a breadth of crops.
Ability to explain complex concepts to a nonagricultural audience.
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