voyagertechnologiesinc
Machine Learning Engineer - Associate
At a Glance
- Location
- El Segundo, California, United States
- Experience
- 2–5 years
- Posted
- 2026-03-25T09:33:30-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Government
Requirements
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++).
Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you’re not just an employee; you become part of a dynamic community dedicated to innovation and excellence.
Responsibilities
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