Applied Scientist, Amazon Music - Search Science

About the role

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. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices.

Join the Amazon Music - Search Science team as an experienced Applied Scientist. You will work with experts in machine learning to break new ground in understanding and classifying music, and creating interactive experiences to help users find the music they are in the mood for. This role involves tackling machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll collaborate in a research-driven environment, working with large-scale data to implement and deploy algorithmic ideas, validate them through statistically relevant experiments, and publish your research. Your work will directly enhance the experience of Amazon Music customers on Alexa/Echo, mobile, and web platforms.

Responsibilities

• Use machine learning, deep learning, LLMs, and Agentic AI techniques to create scalable solutions for business problems.
• Analyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key processes.
• Design, develop, and evaluate AI models for predictive learning.
• Work closely with software engineering teams to drive model implementations and new feature creations.
• Establish scalable, efficient, automated processes for large-scale data analyses, model development, validation, and implementation.
• Research and implement novel machine learning and statistical approaches.

About the team

Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are focused on building a personalized, curated, and seamless music experience. Our goal is to help customers discover up-and-coming artists while also accessing their favorite established musicians. We build large-scale distributed systems that span our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa. Amazon Music is available in countries worldwide, supporting our mission to deliver music in innovative ways that enhance daily life.

Qualifications

Basic Qualifications

• 3+ years of experience building models for business applications.
• PhD, or Master's degree and 4+ years of experience in CS, CE, ML, or a related field.
• Experience programming in Java, C++, Python, or a related language.
• Experience building machine learning models or developing algorithms for business applications.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Preferred Qualifications

• Experience using Unix/Linux.
• Experience in professional software development.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.

Pay

The base salary range for this position in Sunnyvale, CA is $171,600.00 - $222,200.00 USD annually. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
• Employee Assistance Program (EAP) and Mental Health Support.
• Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off.
• Parental leave.

Learn more about our benefits at amazon.jobs/en/benefits.