AI/ML Research Engineer — Applied R&D for Defense Tech

ARA Brand; Raleigh (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

Applied Research Associates, Inc. (ARA) is seeking a Research Engineer to develop AI/ML algorithms across software tool development, physics-based modeling, and simulation. You will join a multidisciplinary team of engineers and scientists focused on national-importance problems.

The role emphasizes translating ideas into tools and production-ready algorithms, with strong emphasis on collaboration, problem solving, and clear communication within a dynamic environment.

Qualifications

• BS in Engineering, Computer Science, Physics, Mathematics, or related field with 2–4 years of relevant work experience.
• Experience in ML, physics-based modeling, simulation/optimization, uncertainty quantification, surrogate modeling, model reduction, computer vision, and intelligent agents.
• Strong software development foundation; experience with Python, Java, and/or C++.
• Experience taking a problem from statement to prototype to production-ready algorithms.
• Strong communication and collaboration skills for a team environment.

Responsibilities

• Design, develop, and debug software tools and algorithms for AI/ML applications.
• Translate ideas into software solutions and evaluate algorithm performance.
• Improve/optimize existing algorithms and develop new ones from scratch.

Skills

Machine Learning

Physics-based Modeling

Simulation & Optimization

Uncertainty Quantification

Surrogate Modeling

Model Reduction

Computer Vision

Intelligent Agents

Python

Java

C++

Education

BS in Engineering/CS/Physics/Mathematics

Tools

Python

Java

C++

Job description

Applied Research Associates, Inc. (ARA) is seeking a Research Engineer to develop AI/ML algorithms across software tool development, physics-based modeling, and simulation. You will join a multidisciplinary team of engineers and scientists focused on national-importance problems.

The role emphasizes translating ideas into tools and production-ready algorithms, with strong emphasis on collaboration, problem solving, and clear communication within a dynamic environment.