Real-Time Audio AI Scientist for On-Device Innovation

Bose Corporation; Framingham (MA); On-site; USD 165,000 - 228,000; Full time

Benefits offered by this job

bonus programs

comprehensive health and welfare benefi

a 401(k) plan

exclusive perks designed to support

generous employee discount

Job summary

Bose Corporation is hiring for research-driven AI/ML engineering to develop audio understanding algorithms running in real time on devices. You will collaborate with ML, DSP, software, and psychoacoustics experts to prototype innovative algorithms for sound event detection and multimodal context understanding.

The role emphasizes robust evaluation, data-driven development, and potential contributions to patents or conference papers.

Qualifications

• Strong hands-on experience with modern audio understanding models, including sound event detection, SELD, acoustic scene analysis, or anomaly detection.
• Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
• Experience developing and evaluating deep learning models in PyTorch; strong Python skills.

Responsibilities

• Research, prototype, train, and evaluate novel audio understanding models, from early experiments through real-time deployment on devices.
• Develop robust methods for sound event detection/localization, acoustic anomaly detection, and context-aware audio interpretation.
• Explore multimodal approaches that combine microphone signals with video, IMU, or other sensor data when useful.
• Build and curate datasets and data pipelines, evaluation protocols, and demonstrations that measure accuracy, robustness, latency, and compute cost.
• Work with DSP and software engineers to integrate models into proof-of-concept systems and product platforms; communicate results and contribute to patents or conference papers.

Skills

Sound event detection

SELD

Acoustic scene analysis

Anomaly detection

Multimodal fusion

Python

PyTorch

C/C++

DSP

Real-time deployment

Education

MS or PhD in machine learning / computer science / electrical engineering

Tools

ONNX

TFLite

Embedded ML

C/C++

Job description

Bose Corporation is hiring for research-driven AI/ML engineering to develop audio understanding algorithms running in real time on devices. You will collaborate with ML, DSP, software, and psychoacoustics experts to prototype innovative algorithms for sound event detection and multimodal context understanding.

The role emphasizes robust evaluation, data-driven development, and potential contributions to patents or conference papers.