Machine Learning Engineer - Mid-Level
Public U.S. defense and space technology company providing mission-critical propulsion, electronics, mission-management, spectrum-intelligence, and lunar-space systems.
Funding history
Investors
About Voyager Technologies, Inc.
Voyager Technologies operates across national security and space infrastructure, including propulsion and energetics, spacecraft guidance and communications, orbital and lunar systems, mission operations, and AI-enabled spectrum intelligence. Its enterprise includes lunar robotic-mobility capability through the July 2026 acquisition of Astrobotic.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Voyager Technologies is seeking a mid-level Machine Learning Engineer to research, prototype, implement, and productionize deep learning technologies for computer vision, SAR, and geospatial exploitation applications.
Requirements
- Ability to obtain and maintain a U.S. government clearance, requiring U.S. citizenship.
- 5-15 years of applicable experience.
- Bachelor's degree in engineering or a related field.
- Master's degree preferred.
- Strong machine learning background, preferably in deep neural networks.
- Flexibility in a small business environment.
- Familiarity with radar sensing phenomenology preferred.
- Open-source framework experience preferred.
- Ability to program in multiple languages, including Python, MATLAB, and C/C++, preferred.
- Must be a U.S. Person and eligible to obtain required export authorizations.
Responsibilities
- Research, design, prototype, and implement advanced deep neural network architectures and machine learning models.
- Apply deep learning algorithms for object detection and classification.
- Develop domain-aware preprocessing algorithms to improve model generalization.
- Apply signal preprocessing techniques to SAR data.
- Create physics simulations and methods to address bias between simulated and real-world data.
- Develop objective functions and performance assessment plans.
- Present work at meetings and conferences.
- Develop and deliver production-quality code, mainly in Python.
Benefits
- Base salary range of $160,000 to $210,000 per year.
- Discretionary annual bonus plan.
- Paid time off.
- Comprehensive health benefits.
- Retirement savings program.
- Wellness program.
