Amazon is hiring: Applied Scientist II, Amazon Music Search in Indiana

Applied Scientist II, Amazon Music Search

Amazon Music Search team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning, working together to break new ground in understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on 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, with many peta-bytes of data, solve unsolved problems, quickly implement and deploy your algorithmic ideas at scale, understand their success via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.

Key job responsibilities:

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

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 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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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