Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Huntsville, AL, 35805, US
Open 3 months, first seen by us 95 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and maintain classical and deep learning models
Build LLM applications and RAG pipelines with vector databases
Develop AI assurance tools for robustness, bias, and adversarial testing
Optimize and deploy models for production and edge environments
Secure model and data pipelines against adversarial ML threats
Design, develop, and maintain machine learning models, from classical algorithms (regression, tree ensembles, clustering) to modern deep learning architectures.
Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering.
Develop AI assurance and evaluation tooling: robustness testing, bias/fairness analysis, model traceability, red-team/adversarial testing, and audit artifact generation.
Optimize and deploy models for production and edge environments (quantization, compression, containerized inference, ONNX/TensorRT).
Implement secure model and data pipelines, defend against adversarial ML threats, and ensure supply-chain integrity (SBOM) for AI components.
Bachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field).
Understanding of computer security principles and secure software development lifecycle (SSDLC) practices.
Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions.
Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Proficiency in Python and at least one additional language (Java, C++).
Strong understanding of data structures, data modeling, and software architecture.
Minimum Requirements: - Bachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field). - Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions.
For the past 44 years, DESE has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment.
In the employer’s words · Read in context
Open 3 monthsWe first saw this posting 95 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Day 95
Up longer than most. Similar jobs usually come down between day 8 and day 75.
From 5,254 similar postings that came down. Coming down is not always a hire.
1 open job
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- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Proficiency in Python and at least one additional language (Java, C++). - Strong understanding of data structures, data modeling, and software architecture.
- Platform & DevSecOps: REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP). - Domain: Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis). - Contributions to open-source AI/ML projects; experience deploying AI models in production, classified, or embedded environments.
- Edge & Deployment: ONNX/TensorRT, quantization/compression, ARM/NVIDIA Jetson/DSP targets, containerized inference, MLOps in controlled/classified environments. - Platform & DevSecOps: REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP). - Domain: Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis).
- Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions. - Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Proficiency in Python and at least one additional language (Java, C++).
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New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense, space, and installation infrastructure S&T programs. We're expanding our Secure AI practice to build and assure trusted, robust AI/ML solutions that interpret complex datasets, predict outcomes, and automate decision-making in support of critical military platforms.
This is a consolidated announcement covering multiple tracks; your assignment may emphasize one or a blend of: Classic ML & Predictive Modeling, LLM/GenAI Applications, AI Assurance & Responsible AI, Edge AI/ML Deployment, and hardening AI/ML systems against adversarial threats. All tracks require independent research, cross-functional collaboration, and the ability to clearly communicate complex technical work to stakeholders.
Core Responsibilities:
Minimum Requirements:
Highlighted Skills & Experience:
Why This Role Matters:
You'll join a high-impact team solving some of the DoD's hardest problems in AI-enabled system security, building the next generation of trusted, auditable, and mission-ready AI for national defense.
About DESE
For the past 44 years, DESE has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DESE provides a compelling benefits package including a generous profit-sharing plan, competitive salaries, and perhaps most importantly, the opportunity to work alongside talented professionals leveraging cutting-edge technologies to solve complex and engaging problems.
Why employees love working for DESE:
At DESE, we are committed to creating a company that is known for its respect and care for employees. We understand that happy employees are what keeps our business going and we strive to provide the best opportunities for each individual working on our team! Here are a few reasons you will love working here:
Disability Accommodation for Applicants - DESE Research, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following alternative email address or phone number to contact us about your interest in employment with us: hrandsecurity@dese.com or 256-837-8004x123.
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Huntsville, AL, 35805, US
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