DADJ Global - Audio Data Scientist

Audio Data Scientist

RESPONSIBILITIES :

- Collaborate with research, data science, and engineering to develop techniques for measuring, predicting, and increasing patient satisfaction with the Whisper hearing system

- Identify strategies to make trade-offs between different hearing aid algorithms in different scenarios based on patient preferences and discrimination ability; collaborate with the audio DSP and ML teams to implement those strategies

- Investigate and evaluate novel techniques or new technologies taken from recent literature that have the potential to improve patient outcomes

MINIMUM QUALIFICATIONS :

- 3+ years of academic or industry experience developing audio signal processing algorithms

- Proficient in Python and familiarity with other systems languages (e.g. C/C++)

- Audio qualification experience, including calibration procedures, test procedures, equipment, tools, etc.

- Experience developing metrics, assessment techniques, and tools to improve the performance of signal processing algorithms using field data

- Experience with applying machine learning algorithms to audio or visual data

- Experience working in teams focused software engineering environment (e.g. code reviewing, source control, etc)

- Clear communication skills and a team multiplier

- BS, MS, or PhD in EE, CS, Statistics, or related technical field

BONUS POINTS :

- Experience with audio DSP techniques (e.g. adaptive filtering, filter banks, noise suppression, beamforming, speech analysis and synthesis, speech and audio coding, etc.)

- Experience using machine learning techniques (e.g. deep neural nets) to solve audio tasks like speech enhancement, audio event classification, or voice detection

- Experience building low power wearable products

- A personal connection to improving hearing health