Applied Scientist I Machine Learning And AI, Amazon Music Catalog Team

Description

Are you passionate about applying machine learning and data-driven techniques to solve real-world problems at global scale Amazon is seeking an Applied Scientist who combines curiosity, creativity, and strong analytical skills to build models and algorithms that power customer experiences and business decisions.
As an Applied Scientist I, you will work with senior scientists and engineers to design, train, and deploy ML models using large-scale datasets. You will experiment with modern techniques in supervised and unsupervised learning, natural language processing, computer vision, or optimization-depending on the teams focus area. Youll also have opportunities to learn Amazons scalable infrastructure, experiment platforms, and science best practices.
This role is ideal for someone early in their career who enjoys working in collaborative, multidisciplinary teams and is excited by the opportunity to learn, innovate, and deliver measurable impact to customers.
Key responsibilities include:
Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks.

Basic Qualifications

Preferred Qualifications

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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