Machine Learning Engineer - Mid-Level
Core
Develop cutting-edge Deep Learning technologies for Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation to support US government customers.
Role type
Mid-level Machine Learning Engineer (Deep Learning)
Builds
Production ML models for defense and national security applications
Domain
Defense, National Security, Space Technology, Computer Vision, SAR
Deliverable
production ML models
Required skills
Deep Neural Network architecture design, object detection, classification, SAR signal pre-processing, physics simulations, Python programming, performance assessment
Preferred skills
Master's degree, Deep Neural Networks background, radar sensing phenomenology knowledge, Open Source frameworks, multi-language programming (Python, Matlab, C/C++)
Technologies
Python, Matlab, C/C++, Open Source frameworks
Responsibilities
Research, conceive, design, prototype, and implement advanced Deep Neural Network Architectures; Apply deep learning algorithms for object detection and classification; Develop domain-aware pre-processing algorithms; Apply signal pre-processing techniques on SAR data; Create physics simulations to account for bias between simulated and real-world data; Develop objective functions and performance assessment plans; Present work at meetings and conferences; Develop and deliver production-quality code
Seniority
Mid-level, hands-on IC
