Applied Scientist, Amazon Music AI Personalization

Amazon • San Francisco, CA

1d

About The Position

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.

Come join a team at the nexus of AI, machine learning, visual and audio
technologies within Amazon Music's Artificial Intelligence & Personalization
organization. We're transforming how customers experience music by creating
context-rich, intelligently assembled content that powers every surface—from
AI-generated playlists and insights to interactive experiences and visual
storytelling.

Requirements

• Experience programming in Java, C++, Python or related language
• Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Nice To Haves

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals
• PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields

Responsibilities

• Work backwards from customer needs to research and develop novel machine learning approaches for music and spoken word multimodal content generation
• Design, develop, evaluate, and deploy scalable AI and ML solutions for customer problems including training LLMs, reasoning models, and diffusion models, agentic and RAG systems, diffusion models
• Ship production quality code for models and collaborate with software engineering teams to drive implementation and experimentation in complex Amazon production systems
• Improve upon existing methods by developing new data sources, testing model enhancements, and fine-tuning model parameters
• Analyze and extract relevant information from large amounts of structured and unstructured, complex and interrelated datasets describing customer behavior and content
• Advocate technical solutions to business stakeholders, engineering teams, as well as executive level decision makers
• Communicate results, insights and recommendations to audiences of varying levels of technical sophistication
• Conduct literature reviews and stay current with advancements in the field, adapting latest in literature to build efficient and scalable models
• Promote the culture of experimentation and scientific rigor at Amazon
• Contribute to progress of the Amazon and broader research communities by publishing papers

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level