ML Engineer — Vision & SAR for Defense Tech

Voyager Space; El Segundo (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Voyager Space is seeking a Machine Learning Engineer to develop cutting-edge Deep Learning technology for Computer Vision, SAR, and Geospatial tasks, with direct impact on U.S. government customers.

You will prototype models, train networks for object detection, develop domain-aware preprocessing, run SAR data analyses, and deliver production-grade Python code. A strong background in ML and the ability to obtain a U.S. government clearance are required.

Qualifications

• 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.

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).

Skills

Machine Learning

Deep Neural Networks

Python

Radar sensing

Education

Bachelor's degree in engineering or related field

Tools

MATLAB

C/C++

Job description

Voyager Space is seeking a Machine Learning Engineer to develop cutting-edge Deep Learning technology for Computer Vision, SAR, and Geospatial tasks, with direct impact on U.S. government customers.

You will prototype models, train networks for object detection, develop domain-aware preprocessing, run SAR data analyses, and deliver production-grade Python code. A strong background in ML and the ability to obtain a U.S. government clearance are required.