AI/ML Machine Learning Engineer at Lockheed Martin
Herndon, VA
$89,300–$157,435from the description
Jul 24, 2026
Herndon, VA
Jul 25, 2026
What this job asks for AI summary
An AI/ML engineering role embedded in a space-focused, cross-functional team that includes data scientists, software developers, physicists, and mathematicians. Day-to-day work centers on applying machine learning, deep learning, computer vision, and large language model / agentic AI techniques to complex problems in the space and national security domain. Suited to engineers with solid Python skills, ML fundamentals, and familiarity with agile development practices.
Mid level · 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 $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 (7)
The role sits at the intersection of ML/AI research and software engineering; 15-2051 (Data Scientists) was chosen as the primary SOC given the emphasis on ML algorithms, deep learning, and AI/ML techniques, but 15-1252 (Software Developers) is a genuine runner-up given the strong software development framing and agentic AI/LLM work.
No specific work location is stated beyond 'onsite at a designated Lockheed Martin facility'; the CBSA and state fields are left blank accordingly.
The Bachelor's degree requirement explicitly accepts 'equivalent combination of education, training, and experience,' so the degree requirement is set to None.
Two salary ranges are given: $89,300–$157,435 for most states and $102,700–$177,905 for major metro areas in CA, MA, and NY. The lower (broader) range is reported; the higher metro range is noted here for reference.
Clearance level is listed as 'None' in the posting, though the national-security mission context suggests a clearance may be required or preferred in practice.
Agentic AI and LLMs appear in the narrative description of the role rather than in a formal requirements section, so they are marked as preferred.
Scrum and Kanban are listed as examples of agile methodologies under Basic Qualifications; captured as the single 'Agile' skill rather than separate entries since they are illustrative alternatives.
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.