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Audio Machine Learning Jobs in Chicago, IL (NOW HIRING)

Cna

Senior Data AI Engineer

Chicago, IL

$109K - $148K/yr

... machine learning solutions that accelerate CNA's migration to a modern cloud data lakehouse. The engineer works across structured and unstructured data domains - including documents, images, audio ...

CNA

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

... machine learning solutions that accelerate CNA's migration to a modern cloud data lakehouse. The engineer works across structured and unstructured data domains - including documents, images, audio ...

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All JobsAudio Machine Learning JobsAudio Machine Learning Jobs in Chicago, IL

Audio Machine Learning information

See Chicago, IL salary details

$30.4K

$87K

$176.7K

How much do audio machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for audio machine learning in Chicago, IL is $87,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $116,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Audio Machine Learning position, and why are they important?

To thrive in Audio Machine Learning, you need a strong background in machine learning, digital signal processing, and proficiency with programming languages such as Python or MATLAB, typically supported by a relevant degree in computer science, electrical engineering, or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with audio libraries (e.g., Librosa), and knowledge of cloud computing tools are highly valued, as are certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication are essential soft skills for success in this field. These skills are crucial for developing innovative solutions, collaborating across multidisciplinary teams, and addressing complex audio data challenges in real-world projects.

Will MLE be replaced by AI?

In the context of an Audio Machine Learning (ML) role, AI tools and automation are increasingly used to assist with tasks like data processing and model deployment. However, MLE professionals are essential for designing, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Human expertise remains critical for interpreting results and ensuring system performance.

What are the typical daily responsibilities of someone working in Audio Machine Learning?

Professionals in Audio Machine Learning typically spend their days designing, developing, and optimizing machine learning models tailored to audio data, such as speech or music recognition systems. You may also preprocess large datasets, extract and engineer relevant features, and collaborate closely with data scientists, audio engineers, and software developers to integrate your work into larger applications. Regular tasks often include running experiments, evaluating model performance, tuning hyperparameters, and keeping up with the latest advancements in the field. Team meetings, code reviews, and presenting findings to stakeholders are also common parts of the workweek.

What is an Audio Machine Learning job?

An Audio Machine Learning job involves developing algorithms and models that analyze, process, and generate audio data. Responsibilities typically include working with speech recognition, music analysis, sound classification, and audio enhancement. Professionals in this field use deep learning, signal processing, and neural networks to improve audio-based applications like voice assistants, noise reduction systems, and music recommendation engines. They often work with datasets of speech, music, or environmental sounds to build models that understand and manipulate audio signals effectively.

Which 5 jobs will survive AI?

Audio Machine Learning specialists are likely to continue in demand as AI advances because their expertise in developing and refining audio recognition systems requires specialized skills that are difficult to automate fully. Roles involving creative audio design, audio engineering, and human oversight of AI systems are also expected to persist. These jobs often require a combination of technical knowledge, domain expertise, and critical thinking that AI cannot easily replace.

What engineer makes $500,000 a year?

Senior audio machine learning engineers with extensive experience, advanced skills in deep learning and signal processing, and often working at large tech companies or specialized research labs can earn salaries approaching or exceeding $500,000 annually. Compensation typically includes base salary, bonuses, and stock options, especially in high-demand industries like AI and audio processing.

Do audio engineers get paid well?

Audio engineers typically earn competitive salaries that vary based on experience, location, and industry sector. Entry-level positions may start lower, but experienced professionals working in recording studios, broadcasting, or live sound often have higher earnings, especially with specialized skills and certifications. Overall, the profession offers the potential for good compensation, particularly for those with technical expertise and a strong portfolio.
What are the most commonly searched types of Audio Machine Learning jobs in Chicago, IL? The most popular types of Audio Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Audio Machine Learning jobs in Chicago, IL? For Audio Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning jobs in Chicago, IL look for? The top searched job categories for Audio Machine Learning jobs in Chicago, IL are:
Audio Machine Learning jobs near you
Engineer Associate Staff, Digital Signal Processing

Engineer Associate Staff, Digital Signal Processing

Shure

Niles, IL • On-site

Full-time

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview
Deliver the Gold Standard in Sound: Lead Advanced DSP Innovation at Shure
The Associate Staff Engineer, Digital Signal Processing is an experienced individual contributor and technical lead responsible for defining, designing, implementing, optimizing, and validating advanced real-time DSP and machine learning solutions for our microphone array, integrated systems, and unified communications products. This individual will help set the technical direction and drive the successful delivery of audio processing solutions that meet product requirements, customer expectations, and industry standards, while mentoring other engineers and collaborating closely with cross-functional teams. This cross-functional role involves collaboration with software, applied research science, data, and test engineers, as well as partnering with various functional teams across the company to integrate and maintain cutting-edge technologies in Shure's products.
If you're passionate about turning complex challenges into a high-quality audio experience, you'll thrive here.
This position will be hybrid based out of our Niles, IL HQ!
Responsibilities
Lead:
  • Lead the architecture, design, development, optimization, and validation of real-time DSP and machine learning solutions for microphone array products.
  • Lead project planning activities, including defining scope, estimating effort, identifying resource needs, and driving execution to meet key project milestones.
  • Lead troubleshooting, root-cause analysis, and resolution of complex product issues related to DSP, audio performance, embedded implementation, or system integration.
  • Mentor and provide technical guidance to junior engineers, fostering their professional growth and maintaining a culture of knowledge sharing and innovation, including delivering constructive feedback through design reviews, code reviews, and technical discussions.
  • Excellent problem-solving skills, with the ability to work independently and in a team environment, providing technical leadership and guidance to other team members.

Collaborate:
  • Work as part of a cross-functional team including embedded software, hardware, acoustics, systems, test, product management, and user experience teams to ensure the successful deployment of audio signal processing solutions.

Implement prototypes and solutions:
  • Utilize advanced DSP approaches and leverage ML/AI approaches to address challenges such as processing real-time, low latency data pipelines and right-sizing solutions
  • Implement and integrate solutions into complex signal processing chains

Identify Signal Processing Requirements:
  • Collaborate with colleagues, other engineers, and product managers to identify and document performance metrics and architectural options
  • Translate product requirements, customer needs, and system constraints into robust designs and implementation strategies.

Evaluate:
  • Measure outcomes of DSP and ML/AI integration into the product design against identified metrics and fine-tune to optimize outcomes. Conduct subjective listening tests to balance results with objective results.
  • Conduct thorough testing and validation of signal processing algorithms and systems, ensuring performance and functionality under various conditions.

Communicate:
  • Strong written and verbal communication skills, including the ability to explain complex technical topics to both technical and non-technical audiences.
  • Adapts message to intended audience

Ideate and invent:
  • Brainstorm with colleagues, stakeholders, and other engineers to identify valuable use cases for Shure customers empowered by DSP and AI/ML, and combinations thereof. Optimize and platform solutions.
  • Contribute to intellectual property, participate in brainstorming, and encourage innovation in the group

Follow Engineering Practices:
  • Adopt and promote mature software engineering practices (e.g. code repositories, shared deployment frameworks, experiment tracking).
  • Create and maintain high-quality technical documentation covering system and algorithm design, implementation, and testing.

Stay Current in the Field:
  • Track and employ advancements in DSP, audio processing, embedded systems, and machine learning, and recommend technologies that can improve current or future products.

Qualifications
Education:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field; with minimum of 8 years of professional experience.
  • 6 years experience with Masters's Degree
  • 3 years experience with PhD

Technical Skills:
  • Extensive knowledge and hands-on experience in advanced DSP theory, with a proven track record of designing, implementing, testing, and optimizing real-time audio signal processing algorithms.
  • Strong C++ programming skills, including object-oriented design and experience writing scalable, maintainable, and well-structured code.
  • Experience prototyping algorithms using tools such as Python or MATLAB.
  • Experience deploying DSP algorithms on embedded platforms.
  • Strong understanding of real-time embedded system constraints, including audio latency, memory usage, CPU utilization, and meeting real-time processing deadlines.

Preferred Experience:
  • Professional experience in digital signal processing with a focus on audio/speech applications
  • Experience with microphone arrays, beamforming, acoustic echo cancellation, dereverberation, noise suppression, automatic gain control, and speech enhancement.
  • Experience with audio processing for conferencing applications.
  • Experience developing and optimizing multi-threaded, real-time audio applications on embedded Linux (multi-core ARM), including debugging timing, synchronization, and CPU performance issues.
  • Experience integrating and deploying machine learning models for real-time audio processing on embedded platforms.
  • Experience with version control systems, issue tracking systems, continuous integration, and agile development practices.
  • Experience with audio interfaces and frameworks (e.g., I2S, TDM, USB, Ethernet, ALSA) and network audio protocols (e.g., Dante, AES67).
  • Experience in audio system validation, including use of measurement equipment, analysis tools, and both objective and subjective evaluation techniques.
  • Knowledge or experience with implementation, integration, or creation of machine learning / Artificial Intelligence algorithms
  • Proficiency in developing low latency, embedded-friendly solutions
  • Experience in Audio engineering, DAWs, recording, or other audio production.

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 MATTERS
Don'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
Shure offers a competitive compensation structure that is reviewed annually to attract, hire, and retain the industry's top talent. Base salaries vary based on qualifications, geography, experience, and expertise in each respective discipline. The range displayed on each job posting reflects the minimum and maximum base salary for the opportunity. The base salary for this position ranges from $129,700 to $207,600. This position may also be eligible for our incentive pay program, which varies based on individual and Company performance in the year. If your salary expectations do not align, still apply as we are often flexible on the seniority of posted positions. All positions also include an award-winning benefits package.
WE GOT YOU - Our Benefits
At Shure, we prioritize the well-being of our Associates. We offer competitive rewards packages to full-time and part-time Associates working 24 or more hours a week that address physical, mental, financial, and overall well-being. Our benefits include comprehensive healthcare, mental health and retirement savings plans, generous paid time off programs, employee discounts, professional development opportunities, work-life balance initiatives, employee recognition programs, and volunteering/community involvement opportunities. To learn more, check out our Benefits At A Glance.
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