Short Description: Develop and maintain our core IP for Precision Music™ using AWS Cloud, Python, machine learning, and MySQL. You will be working with our core ML models on music information retrieval, health data from wearables, and sentiment analysis.

Introduction to Company:

Music Health is dedicated to transforming mental and physical well-being through AI-driven music-based experiences. Our core technology, Precision Music™, leverages our proprietary Ai MuVibeDNA to create personalized interventions that support better mental health.

Description of Role:

Key Responsibilities:

• Develop and maintain scalable machine learning models and applications using AWS Cloud, Python, and MySQL.

• Work on the core IP for Precision Music™, contributing to the development and improvement of AI/ML models for music information retrieval, health data analysis from wearables, and sentiment analysis.

• Collaborate with cross-functional teams to define, design, and implement new features.

• Ensure the performance, quality, and accuracy of machine learning models and applications.

• Identify and correct bottlenecks and fix bugs in data pipelines and machine learning models.

• Help maintain code quality, organization, and automation for machine learning projects.

Qualifications:

• Senior level with at least 5 years of proven experience as a data scientist or machine learning engineer.

• Demonstrable track record in developing and deploying machine learning models and applications.

• Strong proficiency in AWS Cloud, Python, and MySQL.

• Experience with music information retrieval, health data analysis, and sentiment analysis.

• Excellent problem-solving skills and a proactive approach to addressing challenges.

• Strong communication skills and ability to work in a team environment.

Company Culture:

We have a policy of radical candor, no jerks, and plenty of empathy and collaboration.