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# Machine Learning Engineer - Associate

- **Company:** Voyager Technologies, Inc.
- **Location:** El Segundo, CA, United States
- **Experience:** Expert
- **Salary:** $87,600.0 - $107,500.0
- **Contract:** Permanent contract
- **Skills:** Application Frameworks, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Object Detection, Deep Learning
- **Published:** September 17, 2026
- **Apply:** https://www.jofdav.com/jobs/59751288-machine-learning-engineer-associate

## About the Role

* Must be eligible to obtain and maintain a US Government clearance (requires US citizenship)
 * 0-5 years applicable experience
 * Bachelor's degree in engineering or a related field, * 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++).

## Description

The Company is currently seeking a Machine Learning Engineer who can develop cutting edge Deep Learning technologies applied to pressing problems in the domain of Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation. You will have considerable responsibility, and your role will have direct impact on relevant issues facing the United States government customers., 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)