Applied AI/ML Engineer: Multi-Agent Defense Systems

AUREX; Huntsville (AL); On-site; USD 120,000 - 170,000; Full time

Job summary

Aurex in Huntsville, AL is seeking a mid-level Applied AI and Machine Learning Engineer to develop and evaluate AI/ML capabilities for engineering and defense applications. This role blends software development with applied research, experimentation, and performance analysis to turn promising methods into working software.

You will work with senior AI and reinforcement learning engineers, mission engineers, aerospace modelers, and software developers on multi-agent systems, simulation-based AI

Qualifications

• Bachelor's degree in a technical field with at least three years of AI/ML experience or a master's/PhD with applied AI and ML work.
• Hands-on experience building and evaluating ML models in professional or advanced academic settings.
• Strong Python programming skills and experience with ML frameworks.

Responsibilities

• Develop, train, test, and evaluate AI/ML models and related software.
• Research approaches, implement methods, and compare results against baselines.
• Design reproducible experiments and analyze performance and failure cases.
• Collaborate with mission engineers and software teams to translate objectives into AI tasks.
• Develop simulation environments, data-processing tools, and evaluation workflows.

Skills

Python

Machine learning

Model evaluation

Version control

Data analysis

Reinforcement learning

Edge deployment

Education

Bachelor's degree in CS/related field

Master's or PhD in AI/ML or related

Tools

TensorFlow

PyTorch

Job description

Aurex in Huntsville, AL is seeking a mid-level Applied AI and Machine Learning Engineer to develop and evaluate AI/ML capabilities for engineering and defense applications. This role blends software development with applied research, experimentation, and performance analysis to turn promising methods into working software.

You will work with senior AI and reinforcement learning engineers, mission engineers, aerospace modelers, and software developers on multi-agent systems, simulation-based AI