Founding Audio ML Engineer — On‑Device Drone Sensing

Soundryx, Inc.; Los Angeles (CA); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Equity 2-4%

On-site in Los Angeles

Competitive salary

Job summary

Soundryx, Inc. in Los Angeles is seeking a Founding Audio ML Engineer to bridge raw audio signals and deployable neural network models, owning the audio ML pipeline end-to-end and ensuring models run reliably on real hardware.

You will quantize, optimize, and deploy models to our embedded sensor hardware, train on audio data, and iterate datasets and features for robust performance in production environments.

Qualifications

• Hands-on experience with audio DSP and visualization tools (Python, MATLAB, etc.).
• Trained neural networks, ideally on image or audio data.
• Written signal processing code in C++ or Rust.
• FAA Part 107 Remote Pilot Certificate, or willingness and ability to obtain shortly after joining (reimbursement provided).

Responsibilities

• Visualize audio data to uncover features, biases, and collection issues.
• Train and evaluate models on audio waveforms and derived features.
• Improve datasets, features, and architectures for robust on-device performance.
• Quantize, optimize, and deploy models to embedded sensor hardware.

Skills

Audio DSP

Python

MATLAB

Neural networks

C++

Rust

Signal processing

Visualization

Beamforming

Tools

C++

Rust

Job description

Soundryx, Inc. in Los Angeles is seeking a Founding Audio ML Engineer to bridge raw audio signals and deployable neural network models, owning the audio ML pipeline end-to-end and ensuring models run reliably on real hardware.

You will quantize, optimize, and deploy models to our embedded sensor hardware, train on audio data, and iterate datasets and features for robust performance in production environments.