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Hourly Embedded Machine Learning Jobs in Illinois

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

... machine learning, embedded systems, and robotics. You can pick a primary area while still having room to cross over. We'll match projects to your skills and curiosity. You'll work closely with ...

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

... machine learning, embedded systems, and robotics. You can pick a primary area while still having room to cross over. We'll match projects to your skills and curiosity. You'll work closely with ...

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

... machine learning, embedded systems, and robotics. You can pick a primary area while still having room to cross over. We'll match projects to your skills and curiosity. You'll work closely with ...

Details Open Date 05/07/2026 Requisition Number PRN44959B Job Title Hourly Research Assistants ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

Hourly Research Assistants

Campus, IL · On-site

$13.82 - $26.94/hr

Details Open Date 05/07/2026 Requisition Number PRN44959B Job Title Hourly Research Assistants ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

Details Open Date 05/07/2026 Requisition Number PRN44959B Job Title Hourly Research Assistants ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Handson usage of Microsoft Copilot tools (e.g., Copilot for M365, Copilot Studio, or embedded ...

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Hands-on usage of Microsoft Copilot tools (e.g., Copilot for M365, Copilot Studio, or embedded ...

Senior Data Engineer

Chicago, IL · On-site

$140K - $170K/yr

... machine learning to help IT and business leaders make better decisions faster, operationalize AI ... Develop and optimize reporting and analytics experiences delivered through embedded analytics ...

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Hourly Embedded Machine Learning information

What are the key skills and qualifications needed to thrive as an Hourly Embedded Machine Learning Engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an Hourly Embedded Machine Learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an Hourly Embedded Machine Learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in Illinois? The most popular types of Embedded Machine Learning jobs in Illinois are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Illinois look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Hourly Embedded Machine Learning jobs? Cities in Illinois with the most Hourly Embedded Machine Learning job openings:
Infographic showing various Hourly Embedded Machine Learning job openings in Illinois as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Engineer Associate Staff, Digital Signal Processing

Engineer Associate Staff, Digital Signal Processing

Shure

Niles, IL

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago


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 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 TRANSPARENCYShure 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 BenefitsAt 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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Employment Type: FULL_TIME