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# Audio AI Research Scientist - Audio Source Separation

- **Company:** Bose
- **Location:** Italy, TX, United States
- **Salary:** $165,400 - $227,500
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Sound Recording and Reproduction, Audio Signal Processing, C++ (Programming Language), Embedded Software, Python (Programming Language), Machine Learning, Signal Processing, Software Engineering, Pytorch, Information Technology, Low Latency, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations
- **Published:** November 13, 2026
- **Apply:** https://www.careerbuilder.com/job-details/audio-ai-research-scientist-audio-source-separation-italy-tx--4cf0e4fc-891e-4e61-a2e0-1152a119dd49

## About the Role

Graduate degree (MS or PhD) in machine learning, electrical engineering, computer science, or a related field, or equivalent research experience., * Deep hands-on experience in audio source separation, target sound extraction, speech enhancement, or related neural audio processing.

 * Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
 * Strong knowledge of audio DSP, time-frequency methods, and microphone array or spatial signal processing.
 * Experience training and evaluating audio models in PyTorch; proficiency in Python and familiarity with C/C++ is a plus.
 * Understanding of objective and perceptual evaluation methods and the tradeoffs involved in real-time low-power inference.
 * Experience with multimodal or sensor-conditioned separation, ONNX/TFLite, or embedded deployment is a plus.
 * Strong communication skills; publications at conferences such as ICASSP, Interspeech, NeurIPS, or similar are welcome but not required.

## Description

The goal of our team is to develop novel AI-powered audio processing algorithms. The twist is that our algorithms must run in real time, on physical devices, for applications such as dynamic awareness, hearing augmentation, agentic perception, voice pickup, content enhancement, and ones we haven't even thought of yet. You will work with experts in ML, DSP, software engineering, and psychoacoustics to prototype and implement new algorithms.

You will develop next-generation algorithms that isolate, extract, or suppress individual sound sources from microphone recordings, sometimes augmented by other sensor signals. Applications include voice pickup, hearing augmentation, and new audio experiences that must ultimately run in real time on physical devices.

Bose has a strong history of combining creative thinking with cutting-edge audio technology. We are looking for people passionate about machine learning and audio to help shape what comes next.

Responsibilities

 * Research, prototype, train, and evaluate novel source separation and extraction algorithms for speech and other real-world sounds.
 * Develop approaches for single- and multi-microphone recordings, including spatial cues and optional auxiliary sensors.
 * Investigate robust separation in challenging conditions such as overlapping talkers, noise, reverberation, and motion.
 * Evaluate perceptual quality, separation performance, generalization, latency, memory, and computational requirements.
 * Collaborate with DSP and embedded software teams to deploy models in real-time demonstrations and product platforms; contribute to patents and conference papers.