Machine Learning Engineer - Mid-Level
Tasks
- Apply signal preprocessing to SAR data
- Create physics simulations and bias correction methods
- Define objective functions and performance assessment plans
- Develop domain aware preprocessing algorithms
- Develop production quality code in Python
- Present results at meetings and conferences
- Research and design deep neural network architectures
- Train neural networks for object detection and classification
Perks/Benefits
Skills/Tech-stack
C++ | Computer Vision | Deep learning | Geospatial Exploitation | Image classification | MATLAB | Neural Networks | Object Detection | Physics-based Simulation | Preprocessing | Python | Signal Processing | Synthetic Aperture | Synthetic aperture radar
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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