ML Engineer - Deep Learning for National Security

Voyager Technologies; El Segundo (CA); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Discretionary annual bonus

Paid time off (PTO)

Comprehensive health benefits

Retirement savings

Job summary

Voyager Technologies in California seeks a Machine Learning Engineer to develop cutting-edge Deep Learning solutions for Computer Vision, SAR, and Geospatial Exploitation with direct impact on U.S. government projects.

You will research, design, prototype and deploy production-grade Python code, collaborating across disciplines to solve complex problems and advance national security technologies.

Qualifications

• US citizenship required or ability to obtain and maintain US government clearance.
• Experience range of 5–15 years in relevant ML fields.
• Bachelor's degree in engineering or related field is required.

Responsibilities

• Research, conceive, design, prototype and/or implement advanced Deep Neural Network Architectures and other ML models.
• Apply deep learning to train networks for object detection and classification.
• Develop domain-aware pre-processing and methods to improve generalization.
• Apply SAR data signal pre-processing techniques.
• Create physics simulations and address bias between simulated and real data.
• Develop production-quality Python code and collaborate with teams.
• Present work at meetings and conferences.

Skills

Deep Learning

Python

MATLAB

C/C++

Object detection

Radar sensing

Education

Bachelor's degree in engineering or related field

Master's degree

Tools

Open Source frameworks

Job description

Voyager Technologies in California seeks a Machine Learning Engineer to develop cutting-edge Deep Learning solutions for Computer Vision, SAR, and Geospatial Exploitation with direct impact on U.S. government projects.

You will research, design, prototype and deploy production-grade Python code, collaborating across disciplines to solve complex problems and advance national security technologies.