Amazon Music · 1 week ago
Applied Scientist, Amazon Music - Catalog [MusicIQ]
Seattle, WA
Full-time
Onsite
Mid, Senior Level
$136K/yr - $223K/yr
4+ years expAmazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. The role involves researching and developing novel machine learning solutions for music and podcast recommendations, advocating solutions, and producing innovative research that shapes the field of music content understanding and recommendation systems.
Digital MediaMusicMusic Streaming
Responsibilities
Work backwards from customer problems to research and develop novel machine learning solutions for music and podcast recommendations. Through A/B testing and online experiments done hand-in-hand with engineering teams, you'll implement and validate your ideas and solutions
Advocate solutions and communicate results, insights and recommendations to stakeholders and partners
Produce innovative research on catalog, music content understanding, ranking, sequencing and recommendation systems that shapes the field and meets the high standards of peer-reviewed publications. You'll cement your team's reputation as thought leaders pioneering new recommenders. Stay current with advancements in the field, adapting latest in literature to build efficient and scalable models
Lead innovation in AI/ML to shape Amazon Music experiences for millions
Develop state of the art models leveraging and advancing the latest developments in machine learning and genAI
Collaborate with talented engineers and scientists to guide research and build scalable models across our audio portfolio - music, podcasts, live streaming, and more
Drive experiments and rapid prototyping, leveraging Amazon's data at scale
Innovate daily alongside world-class teams to delight customers worldwide through personalization
Qualification
Required
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
Experience building machine learning models or developing algorithms for business application
Experience in CS, CE, ML or related field research
Experience in designing experiments and statistical analysis of results
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon Music
Amazon Music is a music platform and online music store that connects fans, artists, and creators through music, podcasts, and culture. It is a sub-organization of Amazon.
10001+ employees
H1B Sponsorship
Amazon Music has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageLeadership Team
Emily Hawcroft
Sr. Global Manager - Artist and Label Partnerships
Frankie Yaptinchay
Sr. Project Manager, Audience Development & Creative Partnerships
Recent News
Digital Music News
2026-01-17
GlobeNewswire
2025-12-18
San Francisco Chronicle
2025-12-04
Company data provided by crunchbase