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.

• Key job 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

A day in the life
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 including post-training of LLMs, diffusion models. 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.

About the team
We are a team of deeply technical Applied Scientists and Machine Learning Engineers passionate about improving CX through state of the art AI methods. We work on multimodal generation to enhance the audio listening experience on several surfaces Alexa, mobile, fireTV - from AI-generated playlists and insights to interactive experiences and visual storytelling.

Basic Qualifications

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

Preferred Qualifications

• 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

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, San Francisco - 157,300.00 - 212,800.00 USD annually