9 Mothers is seeking a Senior Applied Audio ML Engineer to join their team in Austin, TX. The role involves using machine learning to enhance systems for detecting, classifying, and tracking acoustic targets in real-time.
About the Role
As a Senior Applied Audio ML Engineer, you will develop hybrid models for robust detection and classification of audio signals, manage data labeling and training pipelines, reduce false alarms in various conditions, deploy models for edge inference, and collaborate with hardware and DSP teams to ensure performance metrics are met.
About You
Required:
Experience shipping machine learning solutions for audio or similar noisy sensors with measurable operational metrics.
Disciplined approach to ML engineering, including reproducible experiments and systematic error analysis.
Practical understanding of mic-array fundamentals to debug failures and design robust tests.
High proficiency in Python; experience with Rust for runtime integration is a significant plus.
US Citizenship and the ability to pass a background check.