Machine Learning Engineer — Deep Learning for Defense & Space

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

Benefits offered by this job

Discretionary annual bonus

Health benefits

Retirement savings

Job summary

Voyager Technologies, Inc. in El Segundo, CA seeks a Machine Learning Engineer to develop cutting-edge DL tech for Computer Vision, SAR and geospatial tasks for US government customers. You will own end-to-end model development from research to production.

You'll collaborate across teams to build robust preprocessing, implement production Python code, and present results at conferences. The role requires the ability to obtain clearance and 5–15 years of relevant experience, with a BS in

Qualifications

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

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 preprocessing algorithms to increase model generalization.
• Apply signal preprocessing techniques on SAR data.
• Create physics simulations and address bias between simulated and real data.
• Develop objective functions and sound performance assessment plans.
• Present work at meetings and conferences.
• Develop and deliver production-quality Python code.

Skills

Machine Learning

Education

Bachelor's degree in engineering or related field

Tools

Python

MATLAB

C/C++

Job description

Voyager Technologies, Inc. in El Segundo, CA seeks a Machine Learning Engineer to develop cutting-edge DL tech for Computer Vision, SAR and geospatial tasks for US government customers. You will own end-to-end model development from research to production.

You'll collaborate across teams to build robust preprocessing, implement production Python code, and present results at conferences. The role requires the ability to obtain clearance and 5–15 years of relevant experience, with a BS in