Applied Scientist, Amazon Music - Catalog [MusicIQ]

Amazon Science; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science in Seattle is seeking an Applied Scientist to own the design and development of end-to-end ML systems that power Amazon Music initiatives. You will create technical roadmaps and drive production-grade projects in collaboration with scientists, engineers, and product managers.

The role requires 3+ years building models for business applications, strong programming in Java/C++/Python, and experience with large datasets, data pipelines, and model serving.

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 programming in Java, C++, Python or related language.

Responsibilities

• Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks.
• Build, train, and evaluate models using large, complex datasets.
• Implement scalable data pipelines and model-serving systems.
• Analyze experimental results, draw insights, and refine models to improve accuracy and robustness.
• Communicate findings and recommendations to technical and non-technical audiences.
• Continuously learn and apply new algorithms and techniques to improve existing systems.

Skills

Java

C++

Python

Education

PhD or Master's in CS/CE/ML

Tools

Unix/Linux

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. Learn more at https://www.amazon.com/music.

Key job responsibilities

Responsibilities

As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. Other responsibilities include:

• Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks.
• Build, train, and evaluate models using large, complex datasets.
• Implement scalable data pipelines and model-serving systems.
• Analyze experimental results, draw insights, and refine models to improve accuracy and robustness.
• Communicate findings and recommendations to technical and non-technical audiences.
• Continuously learn and apply new algorithms and techniques to improve existing systems.

A day in the life

Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.

About The Team

The Amazon Music – Catalog [MusicIQ] Team develops sophisticated models for understanding music across multiple dimensions: sonic, thematic, cultural, lyrical, etc. This team aims to unify this deep music knowledge that will power intelligent music experiences across Amazon Music. Ultimately, the goal of our team is to delivery a musically credible experience, which will help grow engagement across all customers, but also delight the fans!

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 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 using Unix/Linux
• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. 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. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually