AI/ML Engineer, Senior - WFH1659 at Global InfoTek, Inc.
Reston, VA
$150–$200/hrfrom the description
Jun 30, 2026
Reston, VA
Jul 21, 2026
What this job asks for AI summary
A contract role building and validating machine learning models for passive RF emitter identification, working against real-time sensor data streams in an R&D program context. Day-to-day work spans exploratory data analysis on RF sensor datasets, constructing and maintaining ML data pipelines on CPU-only Linux hardware without cloud access, and documenting experiments for reproducibility. Best suited to an applied ML practitioner with a background in deep learning and noisy real-world data, ideally with some exposure to RF or signals intelligence domains.
Senior level · 5+ years · Remote · Contract
“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
Roughly 16,100 people nationally plausibly meet what this posting asks for (data scientists). range 4,750–24,100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). 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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (12)
The role is classified as a 1099/Consultant engagement, treated here as Contract.
The posting states 'BS or MS … Experience may be considered in place of education requirement,' so no hard degree gate exists.
Clearance is listed as 'Public Trust' (a suitability determination, not a formal US security clearance level), so the clearance requirement is set to None. Hiring managers should note that a Public Trust background investigation will likely be required.
US Citizenship is listed as required — this is a citizenship gate, not a clearance gate, and cannot be represented in the clearance field; hiring managers should screen for it separately.
SOC is Medium-confidence: the role is primarily ML modeling and data science (15-2051), but the emphasis on building and maintaining ML data pipelines and implementing production code on edge hardware also pulls toward Software Developers (15-1252).
PyTorch is listed as the primary option with TensorFlow as an explicit alternative ('PyTorch or TensorFlow') — both are named in the required skills section.
Siamese networks and metric learning are called out explicitly in required skills as the primary deep learning architecture focus; they are listed as a single conceptual requirement but emitted as separate named skills since both are named distinctly.
All desired/familiarity skills (RF signal processing, TDMA, TDOA, FlatBuffers/Protocol Buffers, statistical signal processing, time-series) appear under the 'Desired Skills' heading and are marked preferred accordingly.
Relevant certifications (TensorFlow Developer Certificate, PyTorch Certified Associate, AWS ML Specialty, Azure AI Engineer, CAP) are listed as nice-to-have and are not emitted as skills since they are credentials, not technologies.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): time-series signal processing.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.