Applied Scientist II, Amazon Music Search
The Amazon Music Search team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning. You will work together to break new ground in understanding and classifying different forms of music, creating interactive experiences to help users find the music they are in the mood for. We tackle machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can pursue applied research, utilizing many petabytes of data, addressing unsolved problems, quickly implementing and deploying your algorithmic ideas at scale, and evaluating their success through statistically relevant experiments across millions of customers. Your work will directly enhance the experience of Amazon Music customers on Alexa/Echo, mobile, and web.
Key job responsibilities:
- Use machine learning, deep learning, LLMs, and NLP 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 highly innovative 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, model validation, and model implementation.
- Research and implement novel machine learning and statistical approaches.
About the team
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 innovates 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 us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more athttps://www.amazon.com/music.
BASIC QUALIFICATIONS
- 2+ years of building models for business application experience.
- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience.
- Experience programming in Java, C++, Python, or related language.
- Experience building machine learning models or developing algorithms for business applications.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visithttps://amazon.jobs/content/en/how-we-hire/accommodationsfor more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
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