Machine Learning Engineer - Mid-Level

Responsibilities:

• Research, conceive, design, prototype and/or implement advanced Deep Neural Network Architectures as well as other relevant Machine Learning models • Apply deep learning algorithms to train neural networks for object detection and classification • Develop domain-aware pre-processing algorithms, and other methods to increase model generalization • Apply signal pre-processing techniques on SAR data • Create physics simulations of various phenomenologies and develop methods to account for bias between simulated and real-world data • Develop appropriate objective functions and sound performance assessment plans • Present work at meetings and conferences • Develop and deliver production-quality code (mainly Python)
• Required Qualifications:
• Must be able to obtain and maintain a US government clearance (requires US citizenship) • 5-15 years applicable experience • Bachelor's degree in engineering or related field
• Preferred Qualifications:
• Master's degree
• Strong background in Machine Learning (preferably Deep Neural Networks)
• Need to be flexible in a small business environment
• Familiarity with radar sensing phenomenology
• Open Source frameworks is a huge plus
• Ability to program in multiple languages (Python, Matlab, C/C++).
• Please click “Apply” to submit your application.
• The good faith base salary range for this role is $160,000.00 to $210,000.00 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future.