AI Researcher

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Requirements:

• Master's or Ph.D. degree (preferred) in Computer Science, Electrical Engineering, or a related field.
• Strong foundation in AI, machine learning, and deep learning.
• Experience with voice and speech processing techniques.
• Familiarity with audio transformer models and their applications in healthcare.
• Proficiency in programming languages such as Python and deep learning frameworks like TensorFlow or PyTorch.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively.

Responsibilities:

• Develop and refine our Large Acoustic Models (LAMs), focusing on accuracy, reliability, explainability, and clinical utility.
• Conduct research and experiments to identify new vocal biomarkers and expand the range of detectable health conditions.
• Stay up-to-date on the latest advancements in speech processing and related fields.
• Collaborate with the engineering team to implement and deploy AI models into our platform.
• Analyze and interpret research data to inform product development.
• Contribute to scientific publications and presentations to disseminate research findings.