Mission‑Driven ML Engineer for Space & Defense

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

Benefits offered by this job

Flexible Time Off

Medical, dental, vision coverage

Gym memberships

401(k) with company match

Wellness programs

Job summary

Voyager Technologies in California is seeking a Machine Learning Engineer to develop cutting-edge Deep Learning technologies for Computer Vision, SAR, and Geospatial Exploitation with direct impact on US government customers.

The role combines research and production engineering, requiring strong ML/DL background and robust Python coding capabilities, with eligibility to obtain a US government clearance.

Qualifications

• Must be able to obtain and maintain a US government clearance.
• 5-15 years applicable experience
• Bachelor's degree in engineering or 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 Learning

Neural Networks

Python

Radar sensing

Education

Bachelor's degree in engineering or related field

Master's degree

Tools

Python

Matlab

C/C++

Open Source frameworks

Job description

Voyager Technologies in California is seeking a Machine Learning Engineer to develop cutting-edge Deep Learning technologies for Computer Vision, SAR, and Geospatial Exploitation with direct impact on US government customers.

The role combines research and production engineering, requiring strong ML/DL background and robust Python coding capabilities, with eligibility to obtain a US government clearance.