Our Newest Openings >> NFT Machine Learning Engineer – Computer Vision and Image Processing
NFT Machine Learning Engineer – Computer Vision and Image Processing
Title:NFT Machine Learning Engineer – Computer Vision and Image Processing


Title: Machine Learning Engineer – Computer Vision and Image Processing
Industry: Non-profit/International Development
Function: Technical
Location: Remote
Start Date: Immediate
Term: 6 months, renewable



Founded in 2004, Build Change is an innovative international non‐profit social enterprise whose mission is to save lives in earthquakes and hurricanes. We do that by designing disaster-resistant houses and schools; training homeowners, builders, engineers and government officials to build them; working with governments to develop and implement building standards; partnering with the private sector to improve building materials quality and create jobs; and facilitating access to incentive-based capital for reconstruction and retrofitting by partnering with financing institutions and government subsidy programs.

Build Change is the recipient of multiple awards, including a 2017 Skoll Foundation Award for Social Entrepreneurship, OpenIDEO Urban Resilience Challenge Winner, and was a top three finalist in IBM’s inaugural Call for Code Developer Challenge in 2018.

To learn more about us and our programs in Indonesia, Colombia, Guatemala, Philippines, Nepal and the Caribbean, visit www.buildchange.org.


Construction supervision is a critical task for retrofitting, as it ensures that seismic resistant elements are being built properly. Considering the high volume of buildings that need an intervention and the cost of high skilled labor to perform supervision, Build Change has envisioned a digitized solution for automated quality assurance to assist homeowners and builders to engage in the construction supervision and monitoring process, and ensure a safe construction of their house. ISAC (Intelligent Supervision Assistant for Construction) will be a mobile app functionality that performs quality checks on particular construction activities, using photos of construction elements. As Machine Learning Engineer, you will develop and deploy machine learning and image processing solutions to carry out the quality checks.


  • Design, develop, test, and implement computer vision and image processing algorithms to carry out quality checks of construction elements from images
  • Develop and implement computer vision algorithms for object detection, classification, segmentation, or recognition
  • Collaborate with team members on developing computer vision systems starting from prototype to production
  • Keep up with state-of-the-art methods in computer vision and deep learning to improve the platform
  • Supervise the data acquisition process if more data is needed
  • Find available datasets online that could be used for training
  • Define the preprocessing or feature engineering to be done on a given dataset
  • Define data augmentation pipelines



You have:

  • advanced skills in Python
  • strong problem solving and troubleshooting skills

Your experience includes:

  • at least 3 years of experience in machine learning, deep learning, image processing, and computer vision
  • computer vision related experience and/or courses, image processing, image classification, segmentation, object recognition, CNN, RNN, etc.
  • experience with computer vision or deep learning frameworks and libraries, e.g. OpenCV, PyTorch, Keras, Tensorflow, scikit-image

You would describe yourself as:

  • drama-free, optimistic, flexible, humble, patient, and having a good sense of humor
  • fluent in English

And maybe you also:

  • have a working knowledge of Spanish, which is preferable



Then please visit www.buildchange.org/about/careers and select the link for this position. Applications will be accepted until filled and will be reviewed as received. Qualified women and citizens of Build Change’s program countries are strongly encouraged to apply. Only shortlisted candidates will be contacted. No calls please.

This opening is closed and is no longer accepting applications
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