Principal Applied Scientist Amazon Music Machine Learning and Personalization
Principal Applied Scientist Amazon Music Machine Learning and Personalization
Posted on :
28-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 179000 - 309400
Vacancy
1 Vacancy
Posted on :
28-04-2025
Job 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 adfree podcasts included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited ondemand 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 Alexaenabled devices. Join us for the opportunity to influence how Amazon Music engages fans artists and creators on a global scale.
We are seeking a visionary and seasoned technology leader to drive our investments in machine learning (ML) and artificial intelligence (AI). As a Principal Applied Scientist you will report directly to the Director of Machine Learning at Amazon Music and help architect our ML strategy overseeing the design of our ML stack and ensuring the quality of our models. Your success in this role will depend on your deep expertise in search personalization discovery AI/ML Generative AI and your passion for entertainment. This is a unique opportunity to influence the future of audio entertainment for millions of listeners worldwide. As a center of excellence in machine learning this role will place you at the forefront of applying Generative AI at scale using Amazons rich datasets. You will have a direct impact on shaping the future of audio exploration driving massive customer experience improvements and achieving critical business KPIs.
Key job responsibilities
Key job responsibilities
As a technical leader you will guide teams of scientists and engineers in translating complex business and functional requirements into tangible highimpact deliverables.
Drive innovation by applying advanced ML techniques in recommendation systems search algorithms and marketing optimization.
Provide thought leadership and guidance to push the boundaries of whats possible with Generative AI in entertainment.
Represent Amazon Music at both internal and external scientific conferences collaborating closely with teams across Amazon including Retail Prime Video AGI and AWS to advance the state of AI/ML research and its applications.
Build and nurture partnerships with academic institutions to ensure our teams have access to the latest research and mentoring opportunities.
PhD in Computer Science/Math or a related field
10 years industry/academic experience in building machine learning models
Strong familiarity with Gen AI for foundational models and Large Language Models
Demonstrated track record of peerreviewed scientific publications that advance stateofthe art applied science
Computer Science fundamentals in Computer Vision and DL across modeling data structures algorithm design and complexity analysis
The ability to Think Big Dive Deep and Learn & Be Curious to provide strategic direction to various entertainment teams across Amazon
The leadership and interpersonal skills necessary to excel in influencebased roles with or without direct authority while working closely with internal and external partners in leading science efforts to meet aggressive timelines with optimal solutions
A demonstrated track record of project delivery for large crossfunctional projects with evolving requirements.
Ability to take a project from requirements gathering and design to actual product launch.
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 Companys 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 for more information. If the country/region youre applying in isnt 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 $179000/year in our lowest geographic market up to $309400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are seeking a visionary and seasoned technology leader to drive our investments in machine learning (ML) and artificial intelligence (AI). As a Principal Applied Scientist you will report directly to the Director of Machine Learning at Amazon Music and help architect our ML strategy overseeing the design of our ML stack and ensuring the quality of our models. Your success in this role will depend on your deep expertise in search personalization discovery AI/ML Generative AI and your passion for entertainment. This is a unique opportunity to influence the future of audio entertainment for millions of listeners worldwide. As a center of excellence in machine learning this role will place you at the forefront of applying Generative AI at scale using Amazons rich datasets. You will have a direct impact on shaping the future of audio exploration driving massive customer experience improvements and achieving critical business KPIs.
Key job responsibilities
Key job responsibilities
As a technical leader you will guide teams of scientists and engineers in translating complex business and functional requirements into tangible highimpact deliverables.
Drive innovation by applying advanced ML techniques in recommendation systems search algorithms and marketing optimization.
Provide thought leadership and guidance to push the boundaries of whats possible with Generative AI in entertainment.
Represent Amazon Music at both internal and external scientific conferences collaborating closely with teams across Amazon including Retail Prime Video AGI and AWS to advance the state of AI/ML research and its applications.
Build and nurture partnerships with academic institutions to ensure our teams have access to the latest research and mentoring opportunities.
PhD in Computer Science/Math or a related field
10 years industry/academic experience in building machine learning models
Strong familiarity with Gen AI for foundational models and Large Language Models
Demonstrated track record of peerreviewed scientific publications that advance stateofthe art applied science
Computer Science fundamentals in Computer Vision and DL across modeling data structures algorithm design and complexity analysis
The ability to Think Big Dive Deep and Learn & Be Curious to provide strategic direction to various entertainment teams across Amazon
The leadership and interpersonal skills necessary to excel in influencebased roles with or without direct authority while working closely with internal and external partners in leading science efforts to meet aggressive timelines with optimal solutions
A demonstrated track record of project delivery for large crossfunctional projects with evolving requirements.
Ability to take a project from requirements gathering and design to actual product launch.
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 Companys 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 for more information. If the country/region youre applying in isnt 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 $179000/year in our lowest geographic market up to $309400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
