Senior RF Machine Learning Engineer
Quartermaster17 days ago
Davis, CA, USASenior
Responsibilities
- Design, train, and deploy machine learning models for RF signal detection and classification.
- Build and maintain dataset curation pipelines for maritime environments.
- Define pre-processing and feature extraction requirements in collaboration with DSP engineers.
- Develop model evaluation frameworks and drive iterative improvements.
- Optimize models for deployment on edge compute hardware.
- Document model architecture and validation results.
Requirements
- Master's or PhD in Machine Learning, Signal Processing, or related field, or equivalent experience.
- 5+ years of experience in building and deploying ML systems focused on RF data.
- Proficiency in Python and deep learning frameworks; familiarity with RF-native tools is a plus.
- Strong understanding of signal alignment and feature extraction from RF data.
- Proven ability to deliver production models, not just prototypes.
- Experience in maritime or aerospace environments is preferred.
- Familiarity with edge inference constraints and optimization techniques.
- Active Secret clearance or ability to obtain one.