Machine Learning Engineer
$160k - $210kVoyager Technologies, Inc.
Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. Forge the Future: Join Voyager Technologies The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart. You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. ____________________________________________________________________________________ Job Summary: 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 a direct impact on relevant issues facing the United States government customers. 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)
- Must be able to obtain and maintain a US government clearance.
- 5-15 years applicable experience
- Bachelor's degree in engineering or related field
$160,000—$210,000 USD
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