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Job Details
Posted date: Apr 22, 2025
There have been 46 jobs posted with the title of Applied Scientist II all time at Amazon.There have been 46 Applied Scientist II jobs posted in the last month.
Location: Seattle, WA
Estimated salary: $179,700
Range: $136,000 - $223,400
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.Key job responsibilities
We are looking for an Applied Scientist II to drive innovation in voice-powered music experiences, leveraging machine learning to revolutionize personalized recommendations and track sequencing across all Amazon Music platforms.
- You will research and develop advanced ML models that revolutionize how customers interact with Amazon Music using voice, focusing on personalized recommendations and seamless track sequencing across all interfaces.
- You will design and evaluate ML algorithms for content selection and ranking, powering intelligent voice recommendations that deliver highly personalized music experiences across Unlimited, Prime, and Free tiers.
- You will collaborate with engineers and applied scientists to integrate and optimize ML sequencing models across various voice and visual interfaces (e.g., AutoPlay, Stations, etc.), enhancing customer engagement.
- You will conduct scientific experiments and share research findings to advance the field of ML-driven voice music experiences.
About the team
The Sequencing and Voice Recommendations Team is at the forefront of revolutionizing how customers experience music through voice. We are a dynamic and innovative group of engineers and applied scientists dedicated to leveraging Generative AI and machine learning to create deeply personalized and engaging music experiences across all Amazon Music platforms. Our mission is to transform voice interaction into a seamless and intuitive gateway to music discovery and enjoyment. We focus on developing advanced algorithms for personalized recommendations, intelligent track sequencing, and robust voice-powered content delivery. We collaborate closely with product managers to ideate, experiment, and launch voice experiences that redefine how millions of users interact with music. Join us as we pioneer the next generation of personalized music discovery and enjoyment.
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
Extended Qualifications
- Experience in professional software developmentAmazon 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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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