Audio AI Research Scientist (Audio Understanding)

Location: Remote or onsite options across the United States, Australia, Denmark, France, Germany, Italy, Japan, Norway, Portugal, Sweden, Switzerland, and the United Kingdom.

Salary: $165,400–$227,500 annual hiring range for the primary work location in Framingham, Massachusetts; ranges may vary by location.

Company

hirify.global Corporation is an independent, customer-focused audio technology company developing premium sound, automotive, luxury, and other audio experiences.

What you will do

• Research, prototype, train, and evaluate audio understanding models from early experiments through real-time deployment on physical devices.
• Develop methods for sound event detection and localization, acoustic scene understanding, anomaly detection, and context-aware audio interpretation.
• Explore multimodal approaches combining microphone signals with video, IMU, and other sensor data.
• Build datasets, data pipelines, evaluation protocols, and demonstrations measuring accuracy, robustness, latency, and compute cost.
• Collaborate with DSP and software engineers to integrate models into proof-of-concept systems and product platforms, 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, with strong Python skills.
• Understanding of audio representations, DSP, and evaluation metrics for detection, localization, and generalization.
• Ability to tackle complex, open-ended research problems through experimentation and iteration.
• Strong communication skills.

Nice to have

• Experience with multimodal fusion using video, IMU, or other sensors for context understanding.
• Experience with efficient inference, causal machine learning, ONNX/TFLite, embedded ML, or C/C++.
• Publications at ICASSP, Interspeech, NeurIPS, or similar conferences.

Culture & Benefits

• Work with experts in machine learning, DSP, software engineering, and psychoacoustics on real-time audio technology.
• Compensation is tailored to skills, experience, education, and work location.
• Bonus programs, comprehensive health and welfare benefits, and a 401(k) plan.
• Exclusive wellbeing perks and an employee discount on hirify.global products and experiences.