Applied Scientist

About the role

Design, build, and deploy machine learning models to enhance personalized music discovery for a global user base. Utilize large-scale behavioral, audio, and contextual data to develop recommendation and ranking algorithms. Conduct online experiments, analyze results, and iterate to improve model performance. Collaborate closely with engineers and product managers to own models from research through production deployment. Leverage AWS-scale infrastructure to support scalable solutions. Contribute to shaping innovative ways for listeners to discover content worldwide.

Requirements

• Strong background in machine learning, data analysis, and modeling.
• Experience with large-scale data and cloud-based infrastructure.
• Ability to work collaboratively across teams and communicate complex concepts effectively.
• Passion for experimentation, rapid learning, and impacting user experience.