Monsanto Deep Learning Scientist - Yield Analytics in St. Louis, Missouri

Position Overview:

The Climate Corporation is looking for a recognized expert in deep learning to join our Yield Analytics team.  At Climate we leverage big data and cloud computing to tackle real-world problems in agriculture. We bring together diverse data sources, including remote sensing, historical and forecasted weather, soil mapping, and machine layers (planting, harvest and other equipment passes) to help growers optimize decision making in order to sustainably increase farm productivity.

The ideal candidate will have solid practical experience in applying deep learning and fundamental machine learning algorithms (supervised, semi-supervised, and unsupervised learning) to solve complex problems.

What You Will Do:

  1. Design, build and validate scalable deep neural networks that leverage these diverse datasets to provide new insights into digital agriculture.
    1. Collaborate with engineers to deploy  successful models and algorithms into production environments
    1. Write beautiful, robust, well-documented and well-tested research and library code
    1. Collaborate with a diverse team that includes statisticians, mathematicians, agricultural domain scientists, and engineers to build research pipelines and algorithms to derive valuable insights from current and new datasets
  2. Basic Qualifications:

  3. Ph.D or MS in computer science, machine learning, statistics, or a related quantitative discipline

      1. Minimum of 1 year of industry, postdoctoral, or academic research experience building, training, and validating either LSTM recurrent neural networks or convolutional neural networks
      1. Extensive programming experience in Python and related deep learning packages
      1. Excellent communication and presentation skills, and the ability to convey rigorous technical concepts and considerations to non-experts
    1. Preferred Qualifications:

    2. Proven track record in deploying machine learning algorithms to create value for business.

      1. Demonstrated willingness to both teach others and learn new techniques
      1. A drive to solve problems, meet deadlines, and build whatever is necessary along the way
      1. A strong desire to work in a highly collaborative team environment
    3. What We Offer:  

Our teams are composed of industry experts, top scientists, and talented engineers. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible products and experiences for our customers.

We provide competitive salaries and some of the best perks in the industry, including:

  1. Superb medical, dental, vision, life, disability benefits, and a 401k matching program
    1. A stocked kitchen with a large assortment of snacks & drinks to get you through the day
    1. Encouragement to get out of the office and into the field with agents and farmers to see first-hand how our products are being used
    1. We take part and offer various workshops, conferences, meet-up groups, tech-talks, and hackathons to encourage participation and growth in both community involvement and career development
  2. We also hinge our cultural DNA on these five values:

  3. Inspire one another

    1. Innovate in all we do
    1. Leave a mark on the world
    1. Find the possible in the impossible
    1. Be direct and transparent
  4. Learn more about our team and our mission:

The Climate Corporation - The Technology Behind Making A Difference

https: c5TgbpE9UBI or visit https: careers


At Monsanto, we value a diverse combination of ideas, perspectives and cultures. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, age, sex, sexual orientation, gender identity, gender expression, status as a protected veteran, or status as a qualified individual with a disability. If you need a reasonable accommodation to access the information provided on this website, please access our disability accommodations process for further assistance.

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