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Hourly Embedded Machine Learning Jobs in Chicago, IL

Learning, understanding, continuously improving, and promoting the quality management system in ... Knowledge of automotive or industrial machinery What We Offer At CNH, our people are at the heart ...

... 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 ...

... 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 ...

... 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 ...

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

This platform combines advanced analytics, machine learning, agentic AI, and intuitive user ... and embedded into real-world workflows. Success in this role requires strong technical depth ...

This platform combines advanced analytics, machine learning, agentic AI, and intuitive user ... and embedded into real-world workflows. Success in this role requires strong technical depth ...

New

This platform combines advanced analytics, machine learning, agentic AI, and intuitive user ... and embedded into real-world workflows. Success in this role requires strong technical depth ...

Showing results 21-40

Hourly Embedded Machine Learning information

See Chicago, IL salary details

$72.1K

$158K

$179.2K

How much do hourly embedded machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for hourly embedded machine learning in Chicago, IL is $158,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $178,200.00 per year, depending on experience, location, and employer.

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 Chicago, IL? The most popular types of Embedded Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Hourly Embedded Machine Learning jobs? Cities near Chicago, IL with the most Hourly Embedded Machine Learning job openings:

Senior Cyber Embedded Software Engineer

Motorola

Schaumburg, IL • On-site

$121K - $159K/yr

Full-time

Medical, Dental, Retirement

Re-posted 14 days ago


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers


Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department OverviewOur Applied Technology organization puts some of Motorola Solutions' brightest minds on unique, highly challenging projects. Based on decades of experience with our customers, we apply leading-edge technologies to support security and safety throughout the world. We engineer our products from start to finish and manufacture them in-house. We're known for low volume and high capability with focused specialization in areas including software-defined radios, advanced antenna solutions, artificial intelligence and machine learning, reverse engineering, cybersecurity, signals intelligence and more. We can't tell you much more about what we do, but we can tell you it's amazing.
Job Description

Ideal candidates for this position are software engineers with strong knowledge and hands-on experience in embedded systems, telecommunications protocols, reverse engineering, and cybersecurity. We are seeking an experienced professional capable of working in the full spectrum of computer-network operations to architect, design, and implement secure embedded systems.
You will be a member of a small multi-disciplinary team, and will be responsible for performing vulnerability analysis of existing systems, developing source and binary patches, and developing new secure systems.
In this role, you will also be asked to discover how technologies and software work through a combination of hands-on experimentation, static analysis, and document research. You will have an understanding of how hardware and software interact in microprocessors at the register level; have a firm grasp on network protocol and security standards; imagine unique and novel solutions to hard and unsolved problems. You will use this knowledge to develop proofs-of-concept, requirements, designs, implementations, testing procedures for new products, and write whitepapers to win new business.
You must be a flexible, results-oriented problem-solver who requires minimal supervision. Projects can vary greatly from one to the next, so you must thrive on variety and enjoy taking on new challenges.

Specific Skills/Knowledge:

  • Experience with disassembly tools (e.g Ghidra, IDA Pro, and Radare2) and debug tools (e.g GDB and JTAG)

  • Experience using Wireshark for packet analysis

  • Understanding of executable file formats (ELF, PE, or similar), linkers, compilers

  • Preferred familiarity with OSI model layer three and higher networking protocols (IP, TCP, UDP, TLS, SIP, SRTP)

  • Preferred experience reading, writing, analyzing at least one of ARM, MIPS, PPC, x86 assembly

  • Familiarity with security principles such as data separation, side-channel attacks, least-privilege, access controls, encryption protocols, keys exchanges, and can advise others on their proper implementation

  • Strong interpersonal, written, and verbal communication skills

  • Excellent understanding of real-time embedded software design and be proficient in Linux, C, C++, Python and other software languages and operating systems.

  • Active TS/SCI clearance preferred.

#AppliedTech #LI-JM2 #LI-ONSITE


Basic Requirements
  • Bachelor's (BS) or Master's (MS) degree, preferably in Computer Engineering, Software Engineering, or Computer Science

  • Experience programming in C, C++, Python

  • Must be aU.S. citizenwith ability to obtain necessary security clearance as required by government contract. Some contracts may have higher-level clearance requirements.


Travel RequirementsUnder 10%
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanYes

Our U.S.Benefitsinclude:

  • Incentive Bonus Plans

  • Medical, Dental, Visionbenefits

  • 401K with Company Match

  • 10 Paid Holidays

  • GenerousPaidTime Off Packages

  • Employee Stock Purchase Plan

  • PaidParental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.


What Motorola Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Motorola Solutions logo

About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928