1

Music Information Retrieval Jobs (NOW HIRING)

Senior Research Scientist - Music

$100K - $128K/yr

... music information retrieval, machine learning, and signal processing. • Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than 700 million ...

Senior Research Scientist - Music

New York, NY · On-site +1

$107K - $137K/yr

Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval ...

Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval ...

Research Scientist - Music

New York, NY · On-site +1

$132K - $188K/yr

Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval ...

Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, 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 ...

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 ...

next page

Showing results 1-20

Music Information Retrieval information

See salary details

$30.5K

$57.7K

$121.5K

How much do music information retrieval jobs pay per year?

As of Jun 13, 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.

More about Music Information Retrieval jobs
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:

Senior Research Scientist - Music

Spotify

Remote

$100K - $128K/yr

Full-time

Posted 25 days ago


Job description

Job Summary:
Spotify is a leading music streaming service, and they are seeking a Senior Research Scientist to conduct groundbreaking research in music generation and related domains. The role involves running large-scale experiments, creating practical applications, and collaborating with cross-functional teams to innovate and influence Spotify's products and services.
Responsibilities:
• Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing.
• Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 700 million monthly active users.
• Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in listening experiences.
• Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges.
• Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization.
• Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.
Qualifications:
Required:
• You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.
• 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 modeling, computer vision, or related areas.
• You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.
• You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.
• You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
• You are enthusiastic about learning more about turning research ideas into products operating at scale.
• You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.
Company:
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE, with a team of 5001-10000 employees. The company is currently Late Stage.