Senior Computer Scientist (AI/ML)
Kegman Inc · Melbourne, FL
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Jul 6, 2026
Melbourne, FL
Jul 21, 2026
What this job asks for AI summary
A senior technical role focused on designing and building deep learning systems to process geophysical sensor data — seismic, acoustic, hydro-acoustic, and infrasound — in support of a U.S. Air Force mission at Patrick Space Force Base. The work centers on developing phase-picker and signal-association algorithms in Python, building automated model training pipelines, and advising government clients on AI/ML architecture and strategy. Suits an experienced AI/ML engineer with a strong geophysical signal-processing background and an active security clearance.
Senior level · 8+ years · Palm Bay-Melbourne-Titusville, FL · Bachelor's required · Secret clearance · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $107,718 (middle half $88,678–$133,257).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The clearance requirement is stated as a 'fully adjudicated (not interim) Government clearance' — the posting does not specify the exact level (Secret vs. Top Secret). Given the Air Force Technical Applications Center mission (nuclear treaty monitoring), a Secret clearance is the minimum plausible gate; the actual level may be higher. Clearance is marked as Secret conservatively.
Education is tiered: Bachelor's + 8 years, Master's + 6 years, or Ph.D. + 3 years. The minimum degree is a Bachelor's, and the overall years minimum is set to 8 (the floor for that path). Candidates with advanced degrees qualify with fewer years.
PyTorch, TensorFlow/Keras, and scikit-learn are listed together as examples of required AI/ML Python libraries. PyTorch is used as the primary skill name with TensorFlow and scikit-learn as alternatives, since the JD treats them as an interchangeable suite.
Signal processing (seismic, acoustic, electromagnetic waveforms) and deep neural network expertise for time-series data are core hard gates per the Basic Qualifications section, even though they are domain-knowledge requirements rather than named tools.
Agile/Scrum appears as 'familiarity with' in the Basic Qualifications section — the softer framing ('familiarity') distinguishes it from the firmer language used for other skills in that section.
The role is genuinely ambiguous between Data Scientists (15-2051) and Software Developers (15-1252): it requires deep ML/modeling expertise (15-2051) but also emphasizes architecting and developing production Python code and pipelines (15-1252).
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ML model training pipelines.
Requires a Secret clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.
Read the full posting
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