Machine Learning Engineer at Grey Matters Defense Solutions
Centennial, CO
$154,000–$195,000from the description
Aug 13, 2026
Centennial, CO
Sep 24, 2026
What this job asks for AI summary
A defense-focused ML engineering role supporting the Intelligence Community and DoD, centered on the full AI development lifecycle — from research prototyping through training, evaluation, and operational deployment of state-of-the-art deep learning models. The position requires an active TS/SCI clearance and suits an experienced practitioner with deep Python and PyTorch expertise who can work independently on mission-critical problems in a hybrid environment near Centennial, CO.
Senior level · 7+ years · Denver-Aurora-Lakewood, CO · Bachelor's required · TS/SCI clearance · Full-time
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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 $114,994 (middle half $99,317–$151,203). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 18, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role sits between Data Scientist (15-2051) and Software Developer (15-1252) — the emphasis on training and evaluating ML/DL models, experiment design, and state-of-the-art AI research leans toward 15-2051, but the strong software engineering requirements (7+ years Python, Unix/Linux, ETL, deployment) make 15-1252 a credible alternative.
An active TS/SCI (SSBI/Tier 5) clearance is a hard gate explicitly stated in Required Qualifications — candidates without one cannot apply.
The 7-year figure is drawn from the Python requirement, which is the longest role-level experience demand stated; no separate overall years-of-experience figure is given.
Multi-GPU/distributed training (PyTorch DDP/FSDP), cluster schedulers (Slurm, Kubernetes, Run:ai), and experiment tracking tools (MLflow, Weights & Biases, DVC) all appear under Preferred Qualifications.
A Master's or doctoral degree is listed as preferred, not required; the hard minimum is a Bachelor's in a related technical field.
NLP, computer vision, and time series are listed as preferred domain experience; only NLP and computer vision are captured as named skill areas — time series is a data type rather than a named tool or framework.
Requires a TS/SCI 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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