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.

QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Strong proficiency in front-end technologies (e.g., React, Angular, Vue.js) and back-end languages (e.g., Python, Node.js).
• Experience with API design and development (e.g., RESTful APIs).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and databases (e.g., SQL, NoSQL).
• Knowledge of software development best practices, including version control (e.g., Git) and testing.
• Excellent problem-solving and debugging skills.Ability to work independently and collaboratively in a fast-paced environment.

ABOUT THE ROLE

As a Software Engineer at Amplifier Health, you’ll be instrumental in building the user interfaces and software infrastructure that power our revolutionary diagnostic platform. You’ll work closely with our AI research and engineering teams to integrate our cutting-edge acoustic models into user-friendly dashboards and applications. This is an ideal opportunity for a skilled software engineer who’s passionate about using technology to improve healthcare.

RESPONSIBILITIES

• Design, develop, and maintain user interfaces for our web and mobile applications.
• Build and integrate APIs to connect our front-end applications with our back-end AI models.
• Develop data visualizations and dashboards to present diagnostic insights effectively.
• Ensure the scalability, security, and performance of our software infrastructure.
• Collaborate with AI engineers to optimize the deployment and integration of AI models.
• Write clean, well-documented, and testable code.
• Participate in code reviews and contribute to software design discussions.