Amazon Music is an immersive audio entertainment service that deepens
connections between fans, artists, and creators. From personalized music
playlists to exclusive podcasts, concert livestreams to artist merch, Amazon
Music is innovating at some of the most exciting intersections of music and
culture.

The Amazon Music Search Science team is seeking an cutting-edge and driven Applied
Scientist to join our engineering and science hub in Bangalore. You will work
alongside a world-class team of machine learning experts to break new ground in
understanding user intent, classifying complex audio and musical forms, and
creating next-generation interactive search experiences that help users find the
exact music, podcasts, and audio content they are in the mood for.

In this role, you will own the design, development, and deployment of end-to-end
machine learning systems. You will balance execution on core search and
discovery priorities—such as improving retrieval accuracy, latency, and
relevance for millions of daily queries—while laying the foundational modeling




capabilities for broader semantic understanding and advanced conversational
search experiences across mobile, web, and voice-forward devices (like Alexa and
Echo).

Key job responsibilities
- Core Search & Execution: Collaborate with scientists, software engineers, and
product managers to define, frame, and solve complex business and ranking
problems as machine learning, information retrieval, or optimization tasks.
- Advanced AI & Modeling: Design, build, train, and evaluate production-grade ML
models using classical machine learning, deep learning, Large Language Models
(LLMs), and Agentic AI techniques to scale music discovery and intent
resolution.
- End-to-End Production Ownership: Take algorithms from research ideation to
production deployment. Build scalable data pipelines, efficient model-serving
systems, and robust offline/online evaluation frameworks.
- Experimentation & Iteration: Design and analyze la

📌 Applied Scientist-II, Amazon Music (Bengaluru)
🏢 Amazon
📍 Bengaluru