Mountain View, CA (HQ)
We are a team of scientists and engineers dedicated to creating transformative computational platforms for agriculture. Our moonshot is to Scale sustainable farming globally, through computational agriculture. Read the X blog post here.
If you are an experienced Software Engineer with an understanding of Machine Learning, and are excited to make a difference in global food production and have a positive impact on climate change, we’d love to talk with you.
This is an opportunity to come in at the ground level and help support the Software Engineering and Machine Learning team for an early stage team innovating quickly at the intersection of agriculture, big data and AI. We are working to push the boundaries of what is possible in a rapidly evolving field. There is no roadmap here. You’ll have the opportunity to problem solve and be a part of the products that transform this space.
About X, the moonshot factory
X creates radical new technologies to solve some of the world’s biggest problems. We develop uncomfortably ambitious, potentially world-changing new ideas such as self-driving cars, balloon-powered Internet and smart contact lenses. We’re a team of makers, entrepreneurs, engineers, designers and scientists with deep technical expertise who love the challenge of the seemingly impossible. X was formerly known as Google[x] and is part of Alphabet.
Additional public information:
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at: email@example.com.
Your application has been received. We appreciate your interest in the open roles at X. Our team will review your materials and if there is a fit, a member of our team will contact you with more information.