Deep Learning/Computer Vision Engineer

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Intelinair exists to help growers and agronomists improve crop performance by delivering actionable and detailed crop intelligence. The Intelinair team focuses on using the best available technologies to address some of the world’s most pressing and complex challenges.
These real-world applications of AI technology help us work towards one of Intelinair’s purposes - to use intelligence to make the world a better place. As a Deep Learning/Computer Vision Engineer, you will work in close collaboration with Intelinair product teams to deploy machine learning algorithms to improve Intelinair products and services.
Our Research Scientists bridge the gap between fundamental research and applications by integrating research into applied projects and working on research inspired by applications. To this end, we are looking to hire top quality Research Scientists interested in contributing to applied research.
The role of Deep Learning/Computer Vision Engineer is a 30/70 research vs. engineering role. The work you will do will significantly move the needle with the core product and has high strategic importance to Intelinair.
  • Develop state-of-the-art computer vision and deep learning algorithms to operate on large data sets of aerial images of farms, with the objective to provide situational assessment and predictive capabilities.
  • Implement new algorithms with the objective to show clear improvement over existing algorithms.
  • Share knowledge by clearly articulating ideas through reports/presentations to technical staff and management.
  • Perform research to make machine learning more applicable to real-world problems.
  • Provide research input on Intelinair products: determine the scope of the problem, the best place to apply machine learning, and evaluate different approaches.
  • Bridge the gap between the research and products by integrating new fundamental research into applied projects and identifying interesting real-world problems to research.
  • Collaborate with Software Engineers to design and run experiments, including designing and evaluating new algorithms as well as implementing known algorithms.
  • Report and present experimental results and research findings clearly and efficiently, both internally and externally.
  • Be an active member of the Intelinair team by validating and contributing to advances in ML.

Skills and Experience

  • Experience of interdisciplinary work between computer vision and crop sciences.
  • Excellent skills in computer vision and deep learning methods for computer vision.
  • Experience using AWS.
  • Solid software engineering skills for prototyping.
Minimum Qualifications
  • Master/Ph.D. in the field of Computer Science, Computer Engineering, Electrical Engineering, Mathematics or related field.
  • Publication track record in machine learning conferences and/or journals.
  • Must be professional-level in Python and C++/C.
  • Experience implementing numerical methods and data visualization.
  • Good knowledge of algorithm design.
Preferred Qualifications
  • Experience in applying ML to real-world problems.
  • Strong expertise in reinforcement learning and/or deep learning.
  • Competent in one or more of the Google-supported languages (C++, Java, Python) with a desire to learn more.
  • Competitive total compensation package
  • Paid holidays and flexible paid time off
  • Making a big impact in the agriculture industry while being part of an energetic and fun team
Interested or know someone who would be a good fit?  Send a resume and cover letter to