Machine Learning Engineer (Remote)

Our client is building the world‘s first verified forest carbon marketplace. They are looking for a Machine Learning Engineer to help develop state-of-the-art remote sensing applications. You will be working with an A team on the mission of restoring nature to solve climate change. Their datasets include high-resolution imagery from Maxar and Planet Labs, LiDAR and open satellite imagery. 


Job is remote, but prefer a candidate to be within three hours of the Pacific time zone.



  • Develop and maintain Pachama's remote sensing verification models.
  • Interpret models and scientific studies to translate them into clean (and beautiful) code.
  • Develop and improve our pre-processing pipeline.



  • Experience processing satellite imagery at scale.
  • Experience training and serving computer vision models.
  • 5+ years of experience with Python.
  • 3+ years of experience with TensorFlow and/or PyTorch.
  • Deep understanding of Data Structures and Algorithms.
  • Experience working in fast paced teams.
  • Hacker mentality.
  • Beginner's mind.


Nice to Have

  • Experience with PostGIS.
  • Experience with Beam.
  • Experience with Kubernetes.
  • Experience processing LiDAR.
  • CS Degree or equivalent.