Machine Learning Engineer - Associate

About the role

Voyager is seeking a Machine Learning Engineer to develop cutting-edge Deep Learning technologies applied to pressing problems in Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation. This role carries considerable responsibility and will have a direct impact on issues facing United States government customers.

Responsibilities

• Research, conceive, design, prototype, and/or implement advanced Deep Neural Network Architectures and 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).

Requirements

• Must be eligible to obtain and maintain a US Government clearance (requires US citizenship).
• 0-5 years of applicable experience.
• Bachelor's degree in engineering or a related field.

Qualifications

• 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 is a plus.
• Ability to program in multiple languages (Python, Matlab, C/C++).

Pay

The good faith base salary range for this role is $120,000 to $170,000 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive.

Benefits

• Competitive salary.
• Discretionary annual bonus plan.
• Paid time off (PTO).
• Comprehensive health benefit package.
• Retirement savings.
• Wellness program.
• Various other benefits.

When you join our team, you’re not just an employee; you become part of a dynamic community dedicated to innovation and excellence.