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Machine Learning Software Engineer (Plant Biology), Early Stage, X

Google Inc

Mountain View, CA 94035
  • Manufacturing / Production
  • Agriculture
  • Biotechnology / Science
  • Engineering
Google Inc
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Job Details

Machine Learning Software Engineer (Plant Biology), Early Stage, X

Software Engineering

Mountain View, CA (HQ)

X is Alphabets moonshot factory where uncomfortably ambitious, world-changing ideas 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. For X to be successful, we have to repeatedly turn breakthrough technology ideas into products that solve large problems in the world, and create meaningful businesses for Alphabet.

About the Role:

You will be part of a very small, early stage project and should be willing to roll up your sleeves and get things done while having a high tolerance for ambiguity. There is no task that is either below or above you. You should be self directed and comfortable operating independently with minimal oversight. This is an exciting opportunity to build technology from the ground up to fundamentally impact agriculture. You will be developing new computational approaches, thinking creatively about how computational tools can model biological systems. We are also looking for someone with vision, who can be a thought partner with the project lead, and help to the next level technically, administratively, and strategically. If you are excited to help us build a moonshot to solve some of the biggest problems in agriculture, wed love to talk with you.

How you will make 10x impact:

+ Be a thought partner on the strategy and execution on the project. This will include refining the moonshot vision/hypothesis, as well as setting the long, medium, and short term milestones and tactics for the project.

+ Develop modelling techniques for agricultural applications where ML can bring hockey stick growth

+ Bring expertise in modeling of biological systems, plant science, and machine learning to the team

What you should have:

+ B.S./M.S. in Computer Science or a related quantitative field with 7+ years of relevant experience

+ A skilled practitioner in machine learning practice, including the development of novel dimensionality reduction algorithms, model training, and analysis

+ Expertise in coding in python, willingness to work in R when necessary

+ Expertise in modeling biological systems

+ Ability to work and thrive in a startup-like environment e.g. comfortable with ambiguity/shifting priorities, ability to work under stressful conditions or tight timelinesfor limited periods, scrappiness. A voracious and fast learner

Itd be great if you also had these:

+ Ph.D. in Computer Science or a related quantitative field with 3+ industry experience

+ Experience in agricultural systems, plant biology, and bioinformatics

+ Experience with Google Cloud Platform or internal Google computing resources

+ Experience spinning up and maintaining machine learning infrastructure

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

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