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Remote Audio Machine Learning Jobs in Oak Lawn, IL

This Internship will be Remote, Onsite or Hybrid in Niles, IL. Responsibilities * Conducting research and developing machine learning solutions for challenging audio problems. * Collecting, creating ...

This Internship will be Remote, Onsite or Hybrid in Niles, IL. Responsibilities * Conducting research and developing machine learning solutions for challenging audio problems. * Collecting, creating ...

This Internship will be Remote, Onsite or Hybrid in Niles, IL. * Conducting research and developing machine learning solutions for challenging audio problems. * Collecting, creating, and curating ...

Audio DSP Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... Deliver digital signal processing and Machine Learning features into a variety of intelligent ...

Audio DSP Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... Deliver digital signal processing and Machine Learning features into a variety of intelligent ...

Audio DSP Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... Deliver digital signal processing and Machine Learning features into a variety of intelligent ...

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Chicago, IL: 4 days in-office; 1 day remote What a typical week might look like * Build, deploy ... a Machine Learning Engineer, ML Platform Engineer, MLOps Engineer, Applied Scientist or similar ...

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Remote Audio Machine Learning information

See Oak Lawn, IL salary details

$29.8K

$85.5K

$173.5K

How much do remote audio machine learning jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote audio machine learning in Oak Lawn, IL is $85,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $114,300.00 per year, depending on experience, location, and employer.

What is a remote audio machine learning?

A Remote Audio Machine Learning job involves using machine learning techniques to analyze, process, or generate audio data while working from a remote location. Professionals in this field develop algorithms for tasks such as speech recognition, music classification, noise reduction, or audio synthesis. They often work with large datasets, build and train models, and collaborate with teams online. These roles typically require skills in programming, signal processing, and experience with machine learning frameworks.

What are the key skills and qualifications needed to thrive as a remote audio machine learning engineer?

To thrive as a Remote Audio Machine Learning Engineer, you need strong foundations in digital signal processing, machine learning algorithms, and programming (often Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, and audio processing libraries (e.g., LibROSA), as well as experience with cloud platforms, is highly valuable. Excellent problem-solving skills, self-motivation, and clear remote communication are essential soft skills for collaborating across distributed teams. These competencies enable the development of robust, innovative audio ML solutions while ensuring effective teamwork and project delivery in a remote setting.

How does a remote audio machine learning role typically collaborate with cross-functional teams, and what communication tools are commonly used?

In a Remote Audio Machine Learning position, collaboration with cross-functional teams such as software engineers, data scientists, and product managers is essential. Regular communication is maintained through tools like Slack, Zoom, and project management platforms such as Jira or Trello. Team members often participate in virtual stand-ups, sprint planning sessions, and code reviews to ensure alignment on project goals and timelines. Effective asynchronous communication and clear documentation are especially important in remote settings to keep everyone informed and foster a productive workflow.

What is the difference between Remote Audio Machine Learning vs Remote Audio Engineer?

AspectRemote Audio Machine LearningRemote Audio Engineer
Required CredentialsBackground in machine learning, data science, or AI; often a degree in computer science or related fieldsAudio engineering, sound design, or music production degree or certification
Work EnvironmentPrimarily focused on developing algorithms, data analysis, and model training, often in a tech or research settingRecording, mixing, editing audio, often in studios or remote production setups
Employer & Industry UsageTech companies, research labs, AI startups working on audio recognition or enhancementMusic, film, broadcasting, and media production companies

Remote Audio Machine Learning specialists focus on developing algorithms to process and analyze audio data, while Remote Audio Engineers handle the practical aspects of recording and editing sound. Both roles may collaborate but serve different functions within the audio industry.

What job categories do people searching Remote Audio Machine Learning jobs in Oak Lawn, IL look for?

The top searched job categories for Remote Audio Machine Learning jobs in Oak Lawn, IL are:

What cities near Oak Lawn, IL are hiring for Remote Audio Machine Learning jobs?

Cities near Oak Lawn, IL with the most Remote Audio Machine Learning job openings:

Infographic showing various Remote Audio Machine Learning job openings in Oak Lawn, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $85,456 per year, or $41.1 per hour.

Audio Applied Research Science Intern

Niles, IL • On-site, Remote

Shure
Computer and Electronic Product Manufacturing • 1 - 5K employees

Full-time, Internship

Retirement, PTO

Re-posted 10 days ago


Job description

Overview

SUMMER 2027

Shure offers a challenging, fun, and rewarding summer internship program. The twelve-week program is offered to undergraduate and graduate students. We offer internships with a variety of work arrangements from onsite interns to fully remote in US. Each intern will receive a competitive salary. Additionally, Interns who are asked to relocate to Illinois for onsite internships will receive a housing stipend to cover living expenses. Applications will be collected, reviewed, and selected candidates will be contacted in late fall/early winter.

The Signal Processing and Applied Research Science team is seeking a highly motivated Audio Applied Research Science Intern to help develop next-generation audio technologies powered by machine learning and artificial intelligence. This role offers the opportunity to contribute to cuttingedge research and product development in professional audio applications.

This Internship will be Remote, Onsite or Hybrid in Niles, IL.

Responsibilities
  • Conducting research and developing machine learning solutions for challenging audio problems.
  • Collecting, creating, and curating datasets for model development and evaluation.
  • Designing, training, and evaluating deep learning models for audio applications, including:
    • Single- and multi-channel audio processing
    • Speech enhancement
    • Music enhancement
    • Audio classification
    • Other audio intelligence and signal processing tasks
  • Investigating and implementing state-of-the-art machine learning architectures and techniques.
  • Optimizing and adapting models for deployment across a variety of hardware and software platforms.
  • Applying modern machine learning engineering practices, including shared codebases, reusable toolkits, experiment tracking, and reproducible workflows.
  • Documenting research findings, experimental results, and technical recommendations using collaborative documentation tools.
  • Presenting technical results and insights to research and engineering teams.
Qualifications
  • Currently pursuing a PhD or advanced Master's degree in Electrical Engineering, Computer Science, Mathematics, Statistics, Physics, Data Science, Machine Learning, or a related quantitative field.
  • Demonstrated research or project experience in machine learning, deep learning, or artificial intelligence.
  • Experience applying machine learning techniques to audio, speech, digital signal processing, multimedia, or related domains.
  • Proficiency with modern machine learning frameworks and libraries such as PyTorch, TensorFlow, JAX, or equivalent.
  • Strong programming skills in Python and experience working with scientific computing tools.
  • Ability to independently investigate complex technical challenges and rapidly prototype solutions.
  • Strong written and verbal communication skills.
  • Experience with audio signal processing, acoustics, speech processing, or music information retrieval.
  • Familiarity with MLOps practices, including experiment tracking, model versioning, CI/CD workflows, or scalable training infrastructure.
  • Experience deploying machine learning models to embedded, edge, mobile, cloud, or realtime systems.
  • Experience with full-stack software development and cloud technologies.
  • Publications, open-source contributions, or demonstrated research achievements are a plus.

Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas.

WHO WE ARE

Shure's mission is to be the most trusted audio brand worldwide - and for over a century, our Core Values have aligned us to be just that. Founded in 1925, we are a leading global manufacturer of audio equipment known for quality, reliability, and durability. We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And quality doesn't stop at our products. Our talented teams strive for perfection and innovate every chance they get. We offer an Associate-first culture, flexible work arrangements, and opportunity for all.

Shure is headquartered in United States. We have more than 35 regional sales offices, engineering hubs, distribution centers and manufacturing facilities throughout the Americas, EMEA, and Asia.

Join Shure and Amplify Your Impact. Explore our unique culture and learn the key pillars that define our legacy of excellence.

THE MIX MATTERSDon't check off every box in the job requirements? No problem! We recognize that every professional journey is unique and are committed to providing an equitable candidate experience for all prospective Shure Associates. If you're excited about this role, believe you've got the skills to be successful, and share our passion for creating an inclusive, diverse, equitable, and accessible work environment, then apply!

PAY TRANSPARENCY

Modeled by extensive market analysis and economic best practices, Shure offers competitive intern compensation that is reviewed and adjusted annually by our Total Rewards Team to attract, hire, and retain the industry's top intern talent. Each internship has an hourly rate which varies from $23-$43 per hour based on job function (Engineering, IT, Business, etc) and year completed in school (Junior, Masters 2nd year, PHD, etc). 

WE GOT YOU - Our Benefits

At Shure, we prioritize the well-being of our associates. Benefits for our interns include retirement savings plans and paid time off, employee discounts, professional development opportunities, and work-life balance initiatives. To learn more, check out our Intern Benefits At A Glance

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Employment Type: OTHER