ML Engineer — Computer Vision & SAR for National Security

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

Benefits offered by this job

Discretionary annual bonus

Paid time off (PTO)

Health benefits

Retirement savings

Wellness program

Job summary

Voyager Technologies seeks a Machine Learning Engineer to develop cutting-edge Deep Learning for Computer Vision, SAR, and Geospatial tasks with direct impact on government partners. You will prototype, train, and productionize models in Python within a small focused team.

Responsibilities include designing architectures, applying preprocessing, and delivering robust code; you will present findings and collaborate across disciplines in a mission-driven environment.

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

Deep Learning

Machine Learning

Computer Vision

Python

Education

Bachelor's degree in Engineering

Tools

MATLAB

C/C++

Job description

Voyager Technologies seeks a Machine Learning Engineer to develop cutting-edge Deep Learning for Computer Vision, SAR, and Geospatial tasks with direct impact on government partners. You will prototype, train, and productionize models in Python within a small focused team.

Responsibilities include designing architectures, applying preprocessing, and delivering robust code; you will present findings and collaborate across disciplines in a mission-driven environment.