
Solving Space Challenges through Innovative Machine Learning
5 days ago
Reimagining how satellites process and deliver intelligence from orbit is a key focus for our organization.
We specialize in satellite edge computing, developing advanced solutions that process data directly on board.
This enables real-time analysis, rapid decision-making, and a significant reduction in data downlink needs.
We envision satellites as autonomous, intelligent systems that don't just capture data, but interpret it instantly.
This capability unlocks critical advantages across defense, environmental monitoring, and global communications, providing insights with speed, efficiency, and security right from space.
As a Data Scientist, you will be part of our development team working on our space data analytics product. Your responsibilities include designing and implementing state-of-the-art computer vision and machine learning models for satellite imagery, training and fine-tuning deep learning models for edge deployment, and providing model operations best practices.
You will collaborate with GIS engineers, software teams, and product managers to integrate machine learning solutions into our broader pipeline.
Additionally, you will stay ahead of emerging trends in Edge AI, machine learning, and remote sensing, and translate them into practical solutions for space applications.
A strong background in Python, experience with frameworks like TensorFlow and PyTorch, and general software engineering skills are essential for this role.
Domain knowledge in satellite imagery and remote sensing is preferred but not mandatory if you have a strong machine learning background.
The ideal candidate will have excellent communication skills, the ability to work independently in a remote-first setup, and a curiosity-driven approach to problem-solving.
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