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Maritime Intelligence Jobs (NOW HIRING)

Fluency with maritime systems such as vessel monitoring, command-and-control platforms, intelligence/data services, and situational awareness networks. * Demonstrated success in BD, capture ...

Fluency with maritime systems such as vessel monitoring, command-and-control platforms, intelligence/data services, and situational awareness networks. * Demonstrated success in BD, capture ...

Fluency with maritime systems such as vessel monitoring, command-and-control platforms, intelligence/data services, and situational awareness networks. * Demonstrated success in BD, capture ...

Fluency with maritime systems such as vessel monitoring, command-and-control platforms, intelligence/data services, and situational awareness networks. * Demonstrated success in BD, capture ...

Sr Radar Engineer

Falls Church, VA · Remote

$120K - $150K/yr

... and maritime intelligence workflows. Supervisor Responsibilities: No Duties Responsibilities: · Provide senior-level radar engineering oversight for aerostat system performance, requirements ...

Our platform empowers stakeholders to make real-time, predictive, intelligence-driven decisions with actionable visibility and maritime insights. What will you do? Conduct research and analysis on ...

Our platform empowers stakeholders to make real-time, predictive, intelligence-driven decisions with actionable visibility and maritime insights. What will you do? Conduct research and analysis on ...

Maintain tactical awareness of various maritime assets. Requirements: * Current TS/SCI clearance required (w/ current CI Poly desired) * Bachelor's Degree and a minimum of 4 years of intelligence ...

Maritime Economist

Portland, OR · On-site

$105K - $147K/yr

Business Intelligence & Forecasting * Monitor and forecast marine and trade activity for diverse ... Maritime Industry Expertise: Comprehensive knowledge of global, national, and local maritime ...

The Maritime Economist helps ensure the Port's success in quality and reliability of data ... Business Intelligence & Forecasting * Monitor and forecast marine and trade activity for diverse ...

Business Intelligence & Forecasting * Monitor and forecast marine and trade activity for diverse ... Maritime Industry Expertise: Comprehensive knowledge of global, national, and local maritime ...

Maritime Economist

Portland, OR · On-site

$105K - $147K/yr

The Maritime Economist helps ensure the Port's success in quality and reliability of data ... Business Intelligence & Forecasting Monitor and forecast marine and trade activity for diverse ...

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Maritime Intelligence information

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$45.5K

$104.6K

$144K

How much do maritime intelligence jobs pay per year?

As of Jun 8, 2026, the average yearly pay for maritime intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for someone working in Maritime Intelligence?

A typical day in Maritime Intelligence involves collecting and analyzing data on vessel movements, cargo, and potential maritime threats using specialized systems and databases. You may prepare intelligence briefings, collaborate with other security agencies or naval organizations, and respond rapidly to emerging incidents or suspicious activities. Teamwork is essential, as you will often work closely with analysts, operations teams, and sometimes international partners. The role can be dynamic, requiring adaptability to shifting priorities, but it also offers the opportunity to make a direct impact on the safety and security of maritime operations.

What is a Maritime Intelligence job?

A Maritime Intelligence job involves gathering, analyzing, and interpreting data related to maritime security, trade, and operations. Professionals in this field monitor vessel movements, identify potential threats such as piracy or smuggling, and provide strategic insights to governments, military branches, or private organizations. They use tools like satellite imagery, AIS tracking, and data analytics to enhance maritime situational awareness. This role is critical for ensuring secure and efficient global maritime activity.

What are the key skills and qualifications needed to thrive in the Maritime Intelligence position, and why are they important?

To thrive in Maritime Intelligence, you need strong analytical abilities, proficiency in threat assessment, and a background in maritime or security studies, often supported by advanced degrees or relevant military/law enforcement experience. Familiarity with maritime domain awareness tools, intelligence databases, GIS systems, and certifications such as STCW or security clearance are commonly required. Excellent problem-solving, attention to detail, and effective communication skills are crucial for collaboration and timely dissemination of intelligence. These capabilities enable professionals to accurately evaluate risks, support operational decisions, and maintain the security of maritime operations.

More about Maritime Intelligence jobs
What cities are hiring for Maritime Intelligence jobs? Cities with the most Maritime Intelligence job openings:
What are the most commonly searched types of Maritime Intelligence jobs? The most popular types of Maritime Intelligence jobs are:
What states have the most Maritime Intelligence jobs? States with the most job openings for Maritime Intelligence jobs include:
Infographic showing various Maritime Intelligence job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,643 per year, or $50.3 per hour.

Senior RF Machine Learning Engineer

Quartermaster AI Inc

Arlington, VA • On-site

Full-time

Posted 22 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.