R&D Machine Learning Engineer (Engineering Scientist Associate)
The University of Texas at Austin Student Government(5 months ago)
About this role
An R&D Machine Learning Engineer at Applied Research Laboratories develops and implements novel machine learning algorithms for sonar and underwater acoustics, focused on analyzing data to characterize performance. The role involves collaboration within the Advanced Technology Laboratory to drive research and innovation in various acoustic systems.
Required Skills
- Machine Learning
- Data Analysis
- Python
- Signal Processing
Qualifications
- Bachelor’s degree in physics, math, computer or information sciences, engineering, related technical area
About The University of Texas at Austin Student Government
utsg.orgN/A
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