Job Description

DESCRIPTION

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 us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.

As an Applied Scientist, you will provide machine learning leadership to the team that helps accelerate the business. You will build various data and machine learning models that help us innovate different ways to enhance customer experience.
Come innovate with the Amazon Music team!

Key job responsibilities
We are looking for an exceptional Applied scientist to develop statistical models and algorithms to drive strategic business decisions and improve operations. You will work with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services.. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions. As an Applied Scientist, you bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems; you\'re interested in learning; and you acquire skills and expertise as needed.
You will be expected to:
Leverage knowledge of statistics and optimization to frame decision-making problems for Amazon Music
Build statistical models required to measure the impact of each system and platform
Predict future customer behavior and business conditions through machine learning and predictive modeling
Use analytical and predictive techniques to build models for optimizing and target specific products
Translate prototype models to production quality, large scale software systems
Present proposals and results in a clear manner backed by data and coupled with actionable conclusions

We are open to hiring candidates to work out of one of the following locations:

Bangalore, KA, IND

BASIC QUALIFICATIONS

- 3+ years of building models for business application experience
- PhD, or Master\'s degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- 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 in professional software development

Amazon