Machine Learning Engineer - Mid-Level

Job Summary

Voyager seeks a Machine Learning Engineer to develop deep learning technologies for Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation. The role has direct impact on U.S. government customers.

• Research, conceive, design, prototype and/or implement advanced deep neural network architectures and other machine learning models.
• Apply deep learning algorithms to train networks for object detection and classification.
• Develop domain‑aware preprocessing algorithms and methods to increase model generalization.
• Apply signal preprocessing techniques on SAR data.
• Create physics simulations of phenomena and develop methods to account for bias between simulated and real‑world data.
• Develop appropriate objective functions and perform sound performance assessment.
• Present work at meetings and conferences.
• Develop and deliver production‑quality Python code.

• Must be able to obtain and maintain a U.S. government clearance (requires U.S. citizenship).
• 5–15 years applicable experience.
• Bachelor’s degree in engineering or related field.

• Strong background in machine learning, preferably deep neural networks.
• Flexibility in a small business environment.
• Familiarity with radar sensing phenomenology.
• Experience with open source frameworks.
• Proficiency in multiple programming languages (Python, MATLAB, C/C++).

$160,000 - $210,000 USD

Competitive salary, discretionary annual bonus plan, paid time off, comprehensive health benefits, retirement savings, wellness program and other benefits.

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.