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Music Information Retrieval Jobs (NOW HIRING)

Roman Catholic Diocese of Tucson

Cantor

Tucson, AZ · On-site

Under the direction of the Director of Music is responsible for leading the congregation in signing ... Research and retrieve information from the internet as needed for liturgical purposes. * Excellent ...

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Music Information Retrieval information

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$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.

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Music Information Retrieval jobs near you
Machine Learning Engineer, Foundation Model Services

Machine Learning Engineer, Foundation Model Services

Apple

Santa Clara, CA • On-site

$171K - $302K/yr

Full-time

Medical, Dental, Retirement

This job post has expired today. Applications are no longer accepted.

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple? At Apple, “we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people’s face”.
Foundation Model Services team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. As part of this group, you will get a chance to bring Intelligence to billions of users across the world. You will have an opportunity to make a difference in life of people. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at scale of Apple.
Description
* Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time.
* Work along side Foundation Model Research team to prototype and develop inference for cutting edge model architectures.
* Build tools to understand bottlenecks in Inference for different hardwares and use cases.
Preferred Qualifications
Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow.
Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.
Minimum Qualifications
5 year+ industry experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics).
Experience with high throughput services particularly at supercomputing scale.
Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
Proficient in building and maintaining systems written in modern languages (eg: Golang, python)
Bachelor’s degree or higher in Computer Science or related technical field.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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