R&D Machine Learning Engineer (Engineering Scientist Associate)
The University of Texas at Austin
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.
Skills
Qualifications
About The University of Texas at Austin
utsg.orgN/A
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About The University of Texas at Austin
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for The University of Texas at Austin.
Salary
$89k – $120k
per year
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