Machine Learning / GIS engineer - FT - Sydney, AU
  • Permanent part time/full time position
  • Employee shares (ESOP) for key positions
  • Eveleigh (Redfern), Sydney, NSW 2015

At FluroSat, we believe that deep science is vital to sustainable food and fibre production. We’re using Australia’s best research to create user-centered software that helps farmers make informed decisions based on highly differentiated analysis. We apply the latest in machine learning and AI to fuse together multiple sources of data and create selective, accurate and actionable insights.

We are looking for a full-time Machine Learning engineer with GIS experience to join our team in Sydney. The candidate will work with the agricultural and remote sensing data to achieve best translation of FluroSat innovation into customer-facing products. Flexible work environment available.

What you’ll do:

  • Work with the team of remote sensing and data scientists on novel remote sensing data
  • Develop machine learning algorithms to analyse crop status using satellite, plane and drone imagery
  • Develop data processing pipelines and machine learning models to identify the crop type and stress by analysing the imagery
  • Use/work with image processing, and geo-referencing modules such as OpenCV and GDAL
  • Work on real-time data in a timely fashion (you will get access to data captured from satellites, planes and drones hours after it was captured!)

Successful applicants must have:

  • Proficient coding skills (Python) - having an excellent and consistent programming style, logic and knowledge. Showcasing personal github projects will prove very beneficial!
  • Computer vision knowledge - using openCV
  • Proficiency with Linux/UNIX command line tools/environment
  • Experience building and adapting Machine Learning models - using a framework of choice
  • Good communication skills and “can do” team player attitude
  • Hungriness to learn. Every task will be a new challenge offering something new to master

Desirable skills (bonus if you have them!):

  • GIS and/or remote sensing knowledge
  • Experience with Google Cloud, backend concepts, Docker
  • Experience with Machine Learning libraries including CUDA, TensorFlow, MXnet, Café and Chainer
  • Leadership qualities, willingness to take ownership of the task

What’s in it for you:

  • Contribute to making world more sustainable, do good
  • Get experience in a multi-national award-winning start-up
    (check out TEDx and TechCrunch)

  • Master mind and implement a novel solution using cutting edge satellite and drone data
  • Feel excited about your job and seize the opportunities for professional growth
  • Make use of flexible work hours and the work mode you like
  • Become a part of something huge! Not every day you can join the next unicorn

If this job sounds like you, and we sound like the kind of team you’d like to join, please apply by sending your resume to [email protected]
Applications close on 21 September 2018