ML Engineer (Mid-Level) — Vision & SAR

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

Job summary

Voyager Space is seeking a Machine Learning Engineer to develop cutting-edge Deep Learning techniques for Computer Vision, SAR and geospatial exploitation with direct impact on US government customers.

Responsibilities include designing neural networks, pre-processing SAR data, and delivering production-grade Python code in a fast-paced, mission-critical setting. Applicants must be able to obtain a US clearance and hold a engineering degree.

Qualifications

• 5-15 years applicable experience.
• Bachelor's degree in engineering or related field.
• Ability to obtain and maintain US government clearance.

Responsibilities

• Research, conceive, design, prototype and implement advanced Deep Neural Network Architectures and other ML models.
• Apply deep learning to train neural networks for object detection and classification.
• Develop domain-aware pre-processing algorithms to increase model generalization.
• Apply signal pre-processing techniques on SAR data.
• Create physics simulations and account for bias between simulated and real data.
• Develop objective functions and performance assessment plans.
• Present work at meetings and conferences.
• Develop production-quality Python code.

Skills

Machine Learning

Deep Neural Networks

Python

Matlab

C/C++

Education

Bachelor's degree in engineering

Tools

Open Source frameworks

Job description

Voyager Space is seeking a Machine Learning Engineer to develop cutting-edge Deep Learning techniques for Computer Vision, SAR and geospatial exploitation with direct impact on US government customers.

Responsibilities include designing neural networks, pre-processing SAR data, and delivering production-grade Python code in a fast-paced, mission-critical setting. Applicants must be able to obtain a US clearance and hold a engineering degree.