Founding Audio ML Engineer

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

Back to All Careers. Soundryx builds rugged, low-cost acoustic sensors that detect small drones and other threats across vast areas.

Founding Audio ML Engineer (Los Angeles, ITAR-Eligible)

Location

Los Angeles, CA (onsite)

Company

Soundryx, Inc.

As our Founding Audio ML Engineer, you’ll bridge the gap between raw audio signals and deployable neural network models. You’ll own the audio ML pipeline end-to-end and ensure our models perform reliably on real-world hardware.

What You’ll Do

• 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 our embedded sensor hardware.

What You’ve Done

• 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.
• Nice-to-have: Implemented beamforming algorithms.

Additional Requirements

• FAA Part 107 Remote Pilot Certificate, or willingness and ability to obtain shortly after joining (we’ll reimburse and train).

Why Join Soundryx

• First chair, big canvas: You’ll help push audio signal processing to new heights.
• Field-proven impact: Your models will listen to the whole world for danger.
• Ownership: Competitive salary + meaningful early equity.

Compensation

• Salary: $130,000–$180,000
• Equity: 2% - 4% of the fully-diluted cap table for Soundryx, Inc. as calculated on offer grant date. The grant is offered as options on a standard four-year vesting schedule with a one-year cliff.

Export Control (ITAR-Eligibility)

Caution: While Soundryx’s commercial product is designed for broad exportability, this role may involve access to export-controlled technical data. Under US regulations, access is limited to US persons A.

US Persons Include

• US citizens
• Lawful permanent residents (Green Card holders)
• Individuals granted asylum in the United States
• Individuals admitted to the United States as refugees
• US non-citizen nationals (e.g., born in American Samoa)B

Apply Now

Apply with your resume at [e-mail].

Soundryx is an equal opportunity employer. Some positions are limited to US Persons under export control laws.

Footnotes

• 22 C.F.R.
• 120.62 — ITAR definition of “US person” (eCFR)
• 8 U.S.C.
• 1408 — “Nationals but not citizens of the United States at birth”