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Signal Processing Machine Learning Jobs in Chicago, IL

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 ...

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 ...

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 ...

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 ...

... real-time signal processing, or similar domains * Familiarity with functional verification ... machine learning, and engineering shape how modern markets are traded. A stabilizing force in ...

Machine Learning Engineer

Chicago, IL Β· On-site

$95K - $138K/yr

Machine Learning Engineer (14907) At Moody's, we unite the brightest minds to turn today's risks ... Experience building data tools for extract, transform, and load processes, extracting data from SQL ...

Machine Learning Engineer

Chicago, IL Β· On-site

$95K - $138K/yr

Experience with machine learning operations practices, including continuous integration and ... Experience building data tools for extract, transform, and load processes, extracting data from SQL ...

New

Design and deploy machine learning models to enhance trading performance across various asset ... signal generation, and portfolio optimization * Collaborate with quantitative traders, researchers ...

Machine Learning Researcher

Chicago, IL Β· On-site

$250K - $300K/yr

... signal generation, and portfolio optimization * Collaborate with quantitative traders, researchers ... machine learning, and engineering shape how modern markets are traded. A stabilizing force in ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... hiring process. Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to ...

Machine Learning Researcher

Chicago, IL Β· On-site

$200K - $275K/yr

Design and deploy machine learning models to enhance trading performance across various asset ... signal generation, and portfolio optimization * Collaborate with quantitative traders, researchers ...

Machine Learning Lead

Chicago, IL Β· On-site

$175K - $235K/yr

Explore transaction and behavioral data to surface new fraud signals and emerging attack patterns ... in machine learning, applied data science, or production ML roles * Demonstrated experience ...

Machine Learning Lead

Chicago, IL Β· On-site

$225K - $275K/yr

Explore transaction and behavioral data to surface new fraud signals and emerging attack patterns ... in machine learning, applied data science, or production ML roles * Demonstrated experience ...

Machine Learning Lead

Chicago, IL Β· On-site

$225K - $275K/yr

Explore transaction and behavioral data to surface new fraud signals and emerging attack patterns ... in machine learning, applied data science, or production ML roles * Demonstrated experience ...

Showing results 21-40

Signal Processing Machine Learning information

See Chicago, IL salary details

$55.1K

$135.3K

$199.3K

How much do signal processing machine learning jobs pay per year?

As of Sep 12, 2026, the average yearly pay for signal processing machine learning in Chicago, IL is $135,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $151,900.00 per year, depending on experience, location, and employer.

What is a signal processing machine learning?

A Signal Processing Machine Learning job involves developing algorithms that analyze and process signals (such as audio, images, video, or sensor data) using machine learning techniques. Professionals in this role apply concepts from digital signal processing (DSP) to extract meaningful patterns, enhance signal quality, and improve data-driven predictions. They work in diverse fields like telecommunications, biomedical engineering, finance, and autonomous systems. Typical tasks include feature extraction, noise reduction, and deploying deep learning models for real-time signal interpretation. Strong skills in mathematics, programming (Python, MATLAB), and frameworks like TensorFlow or PyTorch are essential.

What does a signal processing machine learning do?

As a Signal Processing Machine Learning professional, you can expect to work on projects that involve developing and optimizing algorithms for tasks such as audio or image recognition, anomaly detection, or sensor data analysis. Daily responsibilities often include pre-processing and cleaning large datasets, feature extraction, building and training machine learning models, and validating system performance. Collaboration with cross-functional teamsβ€”such as hardware engineers, data scientists, and software developersβ€”is common to integrate your solutions into products or services. The work environment is typically dynamic and may involve both research-oriented tasks and practical implementation to create impactful, data-driven applications.

What are the key skills and qualifications needed to thrive in signal processing machine learning?

To thrive in Signal Processing Machine Learning, you need a strong background in mathematics, digital signal processing, and machine learning, generally supported by a relevant degree in electrical engineering, computer science, or a related field. Experience with programming languages such as Python or MATLAB, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of signal processing libraries are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills in this position. These competencies enable you to design, implement, and refine advanced algorithms that address complex, real-world data challenges.

What job categories do people searching Signal Processing Machine Learning jobs in Chicago, IL look for?

The top searched job categories for Signal Processing Machine Learning jobs in Chicago, IL are:

Infographic showing various Signal Processing Machine Learning job openings in Chicago, IL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $135,308 per year, or $65.1 per hour.

Audio Applied Research Science Intern

Niles, IL β€’ On-site, Remote

Shure
Computer and Electronic Product ManufacturingΒ β€’Β 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, ComputerΒ 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).Β 

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