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Quartermaster AI

9 jobs near Columbus, OH

Quartermaster AI Inc

Procurement Coordinator

Columbia, MD · On-site

$80K - $100K/yr

At Quartermaster AI, we believe the ocean should be a safe and sustainably managed resource for all. By leveraging cutting-edge AI and robotics, we unlock capabilities that were only recently ...

Quartermaster AI Inc

General Counsel

Arlington, VA · On-site

The Opportunity Quartermaster AI is looking for a mission-driven General Counsel to serve as a key member of our executive leadership team. You won't just be "the lawyer"; you will be a strategic ...

Quartermaster AI Inc

Mission Integrator

Arlington, VA · On-site

At Quartermaster AI, we believe the ocean should be a safe and sustainably managed resource for all. By leveraging cutting-edge AI and robotics, we unlock capabilities that were only recently ...

Senior RF Machine Learning Engineer

Quartermaster AI Inc

Arlington, VA • On-site

$210K - $260K/yr

Full-time

Posted 10 days ago

Job description

About Us:
At Quartermaster AI, we believe the ocean should be a safe and sustainably managed resource for all. By leveraging cutting-edge AI and robotics, we unlock capabilities that were only recently impossible. Our distributed open-ocean systems enable every vessel to sense, compute, and communicate, enhancing maritime domain awareness for those who need it most.
Job Description:
Quartermaster AI is seeking a Senior AI/ML Engineer with an emphasis in RF analysis to develop and deploy machine learning systems that utilize RF data for real-time maritime intelligence.
You'll work in a small team of experienced engineers to build detection, classification, and tagging models that help provide contextual understanding of vessel activity based on observed RF signatures.
Key Responsibilities:
  • Design, train, and deploy machine learning models for RF signal detection, classification, and vessel activity tracking.
  • Build and maintain dataset curation pipelines, including AIS-correlated ground truth labeling, synthetic RF data generation, and augmentation strategies for class-imbalanced maritime environments.
  • Build the interface between DSP feature outputs and model inputs by defining pre-processing, normalization, and feature extraction requirements in coordination with the DSP engineer.
  • Develop model evaluation frameworks and benchmarking harnesses; define quantitative performance criteria and drive iterative improvement against them.
  • Optimize models and inference workflows for deployment on edge compute hardware.
  • Document model architecture, training methodology, dataset provenance, and validation results.
Qualifications (Preferred):
  • Master's or PhD in Machine Learning, Signal Processing, or a closely related field - or equivalent demonstrated experience.
  • 5+ years building and deploying ML systems with a focus on RF or signals data.
  • Proficiency in Python and deep learning frameworks; familiarity with RF-native tooling such as Torchsig is a strong plus.
  • Strong understanding of signal alignment, temporal synchronization, and feature extraction from IQ and spectral data.
  • Proven ability to ship production models, not just research prototypes.
  • Experience in maritime, aerospace, or operationally demanding spectral environments.
  • Experience building labeled RF datasets from ground truth sources.
  • Familiarity with edge inference constraints and optimization techniques (quantization, pruning, model distillation).
  • Active Secret clearance or demonstrated ability to obtain one.

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