About Amplifier Health
Amplifier Health is revolutionizing healthcare by turning the human voice into a vital sign. We're developing the world's first voice-based diagnostic platform that can detect and monitor a wide range of health conditions from speech. Our groundbreaking AI technology has the potential to transform how we diagnose and manage many diseases from Parkinson’s disease to congestive heart failure. We aim to make healthcare more accessible, affordable, and effective for everyone.
About the Role
As an AI Researcher at Amplifier Health, you'll be at the forefront of developing cutting-edge voice-based diagnostic technology. You'll contribute to the advancement of our Large Acoustic Models (LAMs) and stay abreast of the latest research in voice and speech processing, ensuring our technology remains at the leading edge. This is a unique opportunity to apply your expertise in AI and machine learning to revolutionize healthcare and improve the lives of millions.
Responsibilities
- Develop and refine our LAMs, focusing on improving 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, audio and speech machine learning, and related fields.
- Collaborate with our engineering team to implement and deploy AI models into our platform.
- Analyze and interpret research data to draw meaningful conclusions and inform product development.
- Contribute to scientific publications and presentations to disseminate research findings.
- 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, including acoustic modeling, feature extraction, and classification.
- 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 both independently and as part of a collaborative team.
Bonus Points!
- Experience with healthcare data and applications.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
- Contributions to open-source projects or scientific publications in relevant fields.
- Make a real difference in healthcare by developing innovative AI technology.
- Work on challenging and meaningful problems with a passionate and talented team.
- Contribute to a mission-driven company that is revolutionizing the healthcare industry.
- Enjoy a competitive salary and benefits package.
- Thrive in a dynamic, collaborative, and supportive work environment.
To Apply
Please send your resume and a cover letter highlighting your relevant experience and research interests to [email protected]