Quartermaster
Applied Machine Learning Engineer
$200K–$235K
Arlington, VA · On-site · Full-time · Posted Sep 24, 2026
- Experience
- 4+ years of experience building and deploying machine learning models in production environments.
- Education
- Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field. Bachelors candidates considered on a case by case basis.
About the job
Develop and deploy machine learning and perception systems for edge-intelligent maritime sensing, from model design and data development through real-time inference and production optimization.
What you'll do
- Design, train, and evaluate models for detection, classification, anomaly detection, and sensor-based inference.
- Optimize models and implement real-time sensor-processing pipelines for embedded/edge hardware and cloud environments.
- Develop datasets, experiments, and tools for benchmarking, visualization, and debugging.
What they ask for
- Must be eligible to obtain/maintain a security clearance.
- 4+ years of experience building and deploying machine learning models in production environments.
- Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
- Experience with a range of data types and edge or embedded ML deployments, including model compression and hardware-aware optimization.
Nice to have
- Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field; Bachelors candidates considered on a case by case basis.
- Experience in maritime, aerospace, or other remote sensing domains.
Pay
$200K – $235K USD base salary
Tools
Python, PyTorch, TensorFlow
AI focus
Applied machine learning for maritime computer vision, signal processing, sensor fusion, and edge inference.
Model-written summary · the original posting is authoritative