Ramp;D Machine Learning Engineer (Engineering Scientist Associate)

The University of Texas System - Austin, TX

Full-time

Onsite - Austin, TX

Educational Services

About the position

The R&D Machine Learning Engineer (Engineering Scientist Associate) at the University of Texas at Austin is responsible for conducting data analysis on acoustic systems, developing algorithms, and supporting the implementation and deployment of these algorithms. The role involves analyzing signal processing outputs and presenting findings to the research community, with a focus on identifying anomalies and opportunities for improvement in sensor systems.

Responsibilities

• Conduct data analysis across a range of acoustic systems, identifying anomalies and opportunities for improvement.
• Coordinate algorithm delivery to implementation and deployment teams.
• Identify, research, and develop algorithms to exploit information in various sensor systems.
• Analyze and develop models of signal processing outputs to support system understanding.
• Present results to the research community.
• Travel in support of data collection and system evaluation testing.
• Perform other related functions as assigned.

Requirements

• Experience in data analysis and algorithm development.
• Strong understanding of acoustic systems and signal processing.
• Ability to present complex data and results to a research audience.
• Experience with implementation and deployment of algorithms.