Deep Learning Engineer

Company Details

Earthcube is developing monitoring solutions based on an automated analysis of geospatial information. By combining state-of-the-art AI technics in both Computer Vision and Machine Learning, Earthcube enables its customers to access more precise information, thus ensuring faster and less costly interventions.


  • Developing and integrating in our AI framework the state-of-the-art methods of the deep learning literature or innovations from our AI R&D team (especially in the fields of segmentation, object detection, ensembling, and active/continuous learning).
  • Ensuring the code quality of our AI framework, by applying good practices and by coaching others
  • Contributing to the specifications of our AI framework to improve productivity
  • Coming up with new ideas to push forward the performances of our AI framework.
  • Understanding the needs and expectations for the detectors to improve in order to help to plan new developments.
  • Work closely with the GIS team and business experts to understand those needs.


  • Education in the field of data science / deep learning / computer science (Master degree, or PHD)
  • At least 3 years of experience in deep learning (also including internships, online courses, personal side projects, etc.)
  • Very good understanding of deep learning techniques, especially CNNs for Segmentation and Object Detection
  • Strong skills in programmation, in particular in python 3 (OO programming, tdd, or unit test are not unknown words for you)
  • Agile development
  • Rigorous, creative and meticulous mind
  • Excellent organizational skills, autonomy, and reporting capabilities.
  • Willingness to take on challenges, show resiliency and like to always learn new skills


  • Strong knowledge in Computer Vision
  • Proficiency with docker
  • Experience working with remote sensing images (gdal, etc.)
  • Experience working in a startup environment
  • Skills in SQL, elasticsearch and JS


Tagged as: SQL, Docker, Agile, python 3, elasticsearch, cnns, gdal, JS

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