Audio AI Research Scientist – Audio Understanding

🔥 1 minute ago

🌐 United States, Italy, +10 more countries – Remote

🇺🇸 United States – Remote 🇮🇹 Italy – Remote 🇯🇵 Japan – Remote 🇳🇴 Norway – Remote 🇦🇺 Australia – Remote 🇫🇷 France – Remote 🇩🇰 Denmark – Remote 🇵🇹 Portugal – Remote 🇨🇭 Switzerland – Remote 🇸🇪 Sweden – Remote 🇬🇧 United Kingdom – Remote 🇩🇪 Germany – Remote

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $165.4k - $227.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

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Bose Corporation

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💰 $430.2k Equity crowdfunding on 2017-12

Automotive • Manufacturing • Food & Beverage

<Bose Corporation> is a global audio equipment company that designs, manufactures, and sells consumer and professional sound products, including headphones, earbuds, speakers, home theater systems, portable PA systems, and aviation headsets. The company operates direct-to-consumer online retail, offers protection plans and trade-in programs, and provides support services like repairs and corporate gifting. Bose emphasizes premium audio performance, noise-cancellation technology, and lifestyle-oriented marketing.

📋 Description

• 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 combining microphone signals with video, IMU, or other sensor data • Build and curate datasets and data pipelines, evaluation protocols, and demonstrations measuring 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

🎯 Requirements

• Graduate degree (MS or PhD) in machine learning, computer science, electrical engineering, or a related field, or equivalent research experience • Strong hands-on experience with modern audio understanding models, including sound event detection, SELD, acoustic scene analysis, or anomaly detection • Experience developing and evaluating deep learning models in PyTorch • Strong Python skills • Understanding of audio representations, DSP, and evaluation metrics for detection, localization, and generalization • Comfortable tackling complex, open-ended problems requiring experimentation • Experience with multimodal fusion using video, IMU, or other sensors is a plus • Experience with efficient inference, causal ML, ONNX/TFLite, embedded ML, or C/C++ is a plus • Strong communication skills • Publications at conferences such as ICASSP, Interspeech, NeurIPS, or similar are welcome but not required

🏖️ Benefits

• Bonus programs • Comprehensive health and welfare benefits • 401(k) plan • Exclusive perks designed to support wellbeing • Generous employee discount • Compensation beyond base salary

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