Machine Learning Engineers

ICEYE is building and operating its own commercial constellation of small Synthetic Aperture Radar (SAR) satellites with SAR data available to customers. We have recently opened a Global Machine Learning Center of Excellence in Luxembourg and for which we have exceptional opportunities for Machine Learning Engineers.

This CoE is responsible for developing and deploying fullstack machine learning applications that leverage ICEYE’s cutting-edge imagery and SAR phenomenology to create unprecedented capability in scaling remote sensing solutions in the domains such as deforestation and natural catastrophe.

The role:

To help drive the growth of our analytics solutions, we are seeking an ML Engineer with a geospatial machine learning experience. You will help develop the scalable, cloud-based machine learning pipeline for feature extraction in synthetic aperture radar (SAR) imagery. You will use tools such as TensorFlow, MXNET, and PyTorch in an AWS EC2 environment to create deep learning, containerized applications that can be asynchronously scaled against our own petabytes of imagery. Our current solution space includes natural disaster, environmental, and maritime components.

What you will do:

• Work in the Analytics team with other scientists and engineers to develop ML workflows & pipelines;
• Develop & curate data as necessary for this unique application and dataset;
• Create and be comfortable with both, quick MVP solutions and longer term sustainable solutions. You must understand when to take one or both of these approaches;
• Participate in end user / user story creation sessions to uncover necessary features for implementation;
• Train deep learning models or other machine learning models in a cloud-based environment;
• Dockerize & deploy ML models as cloud services, with assistance from other Software Engineers;
• Collaborate closely with the broader Analytics and Software teams.

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Find more details and apply via the link below