Founding Audio ML Engineer

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

Benefits offered by this job

Equity (2-4% of fully-diluted cap)

Job summary

Soundryx, Inc. in Los Angeles seeks a Founding Audio ML Engineer to bridge raw audio signals to deployable neural network models and own the audio ML pipeline end-to-end for on-device performance.

You will visualize, train, evaluate, and optimize models on audio data, with emphasis on robustness and real-world hardware deployment. FAA Part 107 certification is desired and reimbursed.

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

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 our embedded sensor hardware.

Skills

Audio DSP

Neural networks

C++/Rust

Python

MATLAB

Education

FAA Part 107 Remote Pilot Certificate

Tools

Python

MATLAB

C++

Rust

Job description

Laran 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 Laran

• 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 Laran’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

Laran 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”