About this role

Assist ARL engineers in the areas of data analysis, machine learning, and signal processing.
Develop cutting-edge AI/ML techniques to solve problems in signal processing and anomaly detection.
Design and implement custom algorithmic solutions, specializing in machine learning and artificial intelligence, to meet varied sponsor objectives.
Support machine learning model development using tools and libraries such as PyTorch, Scikit-learn, Pandas, and similar technologies.
Support for data analysis and data display.

Students studying Math, Physics, Electrical Engineering, Computer Science, Data Science, or related fields are encouraged to apply.
Experience in AI/ML.
Knowledge of Python, MATLAB, or similar language.
Knowledge of signal processing a plus.
Ability to take data in an organized fashion and write a report about their results.

Employment with the University will require successful completion of background check(s) in accordance with University policies.
Successful completion of a pre-employment drug screen.

Research and Development Engineer Intern

Key skills