We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
Sr. Applied Scientist, Amazon Music - Search Science
Sunnyvale, CA · On-site
$107K - $146K/yr
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
Sr. Applied Scientist, Amazon Music - Search Science
Sunnyvale, CA · On-site
$107K - $146K/yr
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
Sr. Applied Scientist, Amazon Music - Search Science
Sunnyvale, CA · On-site
$107K - $146K/yr
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
Sr. Applied Scientist, Amazon Music - Search Science
Sunnyvale, CA · On-site
$107K - $146K/yr
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
Sr. Applied Scientist, Amazon Music - Search Science
Sunnyvale, CA · On-site
$107K - $146K/yr
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
Sr. Applied Scientist, Amazon Music - Search Science
Sunnyvale, CA · On-site
$107K - $146K/yr
We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can ...
Elementary School Teaching/Music - Vocal Date Posted: 4/1/2026 Location: Donald A. Quarles Early ... information systems, information retrieval, visual and audio presentations, communications ...
Elementary School Teaching/Music - Vocal Date Posted: 4/1/2026 Location: Donald A. Quarles Early ... information systems, information retrieval, visual and audio presentations, communications ...
Certification as a Teacher of Music is required. * Demonstrate knowledge of effective teaching ... information systems, information retrieval, visual and audio presentations, communications ...
Certification as a Teacher of Music is required. * Demonstrate knowledge of effective teaching ... information systems, information retrieval, visual and audio presentations, communications ...
Research Scientist - Generative Audio
New York, NY · On-site +1
$133K - $190K/yr
You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic ...
Research Scientist - Generative Audio
New York, NY · On-site +1
$133K - $190K/yr
You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic ...
AI driven audio enhancement, processing, and generation (for speech and music), such as speech enhancement and analysis, source separation, text-to-speech, text-to-music, music information retrieval ...
AI driven audio enhancement, processing, and generation (for speech and music), such as speech enhancement and analysis, source separation, text-to-speech, text-to-music, music information retrieval ...
Music Technology & Music Information Retrieval * Product Design and Management * User Experience & Visual Design * Data Security and Privacy * Data Analytics * Operations * Clinical and Regulatory ...
Music Technology & Music Information Retrieval * Product Design and Management * User Experience & Visual Design * Data Security and Privacy * Data Analytics * Operations * Clinical and Regulatory ...
AI driven audio enhancement, processing, and generation (for speech and music), such as speech enhancement and analysis, source separation, text-to-speech, text-to-music, music information retrieval ...
AI driven audio enhancement, processing, and generation (for speech and music), such as speech enhancement and analysis, source separation, text-to-speech, text-to-music, music information retrieval ...
General Interest
Portland, ME · On-site +1
Music Technology & Music Information Retrieval * Product Design and Management * User Experience & Visual Design * Data Security and Privacy * Data Analytics * Operations * Clinical and Regulatory ...
General Interest
Portland, ME · On-site +1
Music Technology & Music Information Retrieval * Product Design and Management * User Experience & Visual Design * Data Security and Privacy * Data Analytics * Operations * Clinical and Regulatory ...
Bronx NY-Music Teacher
Fair Lawn, NJ · On-site
$73K/yr
Music Teacher (Grades 5-8) Summary: To provide an approved education program and establish a class ... word processing, data management, information retrieval, visual presentations, and ...
Bronx NY-Music Teacher
Fair Lawn, NJ · On-site
$73K/yr
Music Teacher (Grades 5-8) Summary: To provide an approved education program and establish a class ... word processing, data management, information retrieval, visual presentations, and ...
Research Scientist - Generative Audio
$133K - $190K/yr
You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic ...
Research Scientist - Generative Audio
$133K - $190K/yr
You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic ...
Music Teacher (Grades 5-8) Summary: To provide an approved education program and establish a class ... word processing, data management, information retrieval, visual presentations, and ...
Music Teacher (Grades 5-8) Summary: To provide an approved education program and establish a class ... word processing, data management, information retrieval, visual presentations, and ...
Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms
San Francisco, CA · On-site
Our Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music ... MS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data ...
Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms
San Francisco, CA · On-site
Our Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music ... MS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data ...
Music Information Retrieval information
See salary details
$30.5K - $38.8K
24% of jobs
$39.2K is the 25th percentile. Wages below this are outliers.
$38.8K - $47K
16% of jobs
The median wage is $49.8K / yr.
$47K - $55.3K
31% of jobs
$58.8K is the 75th percentile. Wages above this are outliers.
$55.3K - $63.6K
11% of jobs
$63.6K - $71.9K
7% of jobs
$71.9K - $80.1K
5% of jobs
$80.1K - $88.4K
0% of jobs
$88.4K - $96.7K
0% of jobs
$96.7K - $105K
2% of jobs
$105K - $113.2K
2% of jobs
$113.2K - $121.5K
2% of jobs
$30.5K
$57.7K
$121.5K
How much do music information retrieval jobs pay per year?
As of Jul 28, 2026, the average yearly pay for music information retrieval in the United States is $57,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $64,000.00 per year, depending on experience, location, and employer.
What are the typical career paths and advancement opportunities in Music Information Retrieval roles?
Professionals working in Music Information Retrieval (MIR) often start as data scientists, audio engineers, or researchers specializing in music technology. As you gain experience, opportunities can lead to more senior positions such as lead MIR researcher, machine learning engineer for music applications, or project manager overseeing music technology initiatives. There is also potential to transition into academic roles, consulting, or leadership positions within companies focused on music streaming, audio software, or digital media. Collaboration with cross-functional teams—including musicologists, software developers, and UI/UX designers—is common, opening doors to varied project-based and interdisciplinary career growth.
What is a Music Information Retrieval job?
A Music Information Retrieval (MIR) job involves developing algorithms and systems to analyze, process, and retrieve music-related data. Professionals in this field work on tasks like audio feature extraction, genre classification, music recommendation, and automatic transcription. They often use machine learning, signal processing, and data science techniques to improve music search engines, streaming services, and audio analysis tools. MIR jobs are commonly found in research labs, tech companies, and the music industry.
What are the key skills and qualifications needed to thrive in the Music Information Retrieval position, and why are they important?
To thrive in Music Information Retrieval, you need a strong background in computer science, signal processing, and music theory, often supported by a relevant degree or research experience. Proficiency with programming languages such as Python or MATLAB, familiarity with machine learning libraries, and experience using specialized software like MIRtoolbox are highly beneficial. Strong analytical skills, creativity, and effective collaboration are key soft skills that help tackle complex problems and innovate in this interdisciplinary field. These talents are crucial for developing and optimizing systems that process and analyze large collections of music data, supporting applications in recommendation, music analysis, and audio engineering.
What cities are hiring for Music Information Retrieval jobs? Cities with the most Music Information Retrieval job openings:
What are the most commonly searched types of Music Information Retrieval jobs? The most popular types of Music Information Retrieval jobs are:
What states have the most Music Information Retrieval jobs? States with the most job openings for Music Information Retrieval jobs include:
What job categories do people searching Music Information Retrieval jobs look for? The top searched job categories for Music Information Retrieval jobs are:
Full-time
This job post has expired today. Applications are no longer accepted.
Amazon rating
7.4
Based on 7,018 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
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 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.
Amazon Music Search Science team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can pursue applied research, with many peta-bytes of data, work on problems that haven't been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research
You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.
Key job responsibilities
- Use machine learning, deep learning, LLMs and Agentic AI techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key processes
- Design, development and evaluation of AI models for predictive learning
- Work closely with software engineering teams to drive model implementations and new feature creations
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Research and implement novel machine learning and statistical approaches
About the team
Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.Our team is focused on building a personalized, curated, and seamless music experience
We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US