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Embedded Machine Learning Engineer Jobs in Troy, IL

MLE II

Saint Louis, MO ยท On-site

$50 - $55/hr

Machine Learning Engineer II Remote (U.S.) Remote Role Compensation: $50 - $55 per hour ABOUT THE ROLE Brooksource is partnering with a Fortune 50 healthcare organization to hire a Machine Learning ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Specialist

Saint Louis, MO ยท On-site

$80K - $158K/yr

Machine Learning Specialist City: St Louis State/Province: Missouri Posting Start Date: 8/18/26 ... Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and ...

Agentic AI Developer

O Fallon, IL ยท On-site

$99K - $225K/yr

As a machine learning engineer on our Defense Technology team, you'll train, test, deploy, and maintain models that learn from data to create realโ€‘world, missionโ€‘critical impacts. In this role ...

MLOps Lead Engineer

Saint Louis, MO ยท On-site

$99K - $131K/yr

We are seeking an experienced MLOps Lead Engineer to take full ownership of our enterprise Machine Learning operations on the Databricks Lakehouse platform. In this role, you will design, automate ...

MLOps Lead Engineer

Saint Louis, MO

$99K - $131K/yr

We are seeking an experienced MLOps Lead Engineer to take full ownership of our enterprise Machine Learning operations on the Databricks Lakehouse platform. In this role, you will design, automate ...

MLOps Lead Engineer

Saint Louis, MO ยท On-site

$99K - $131K/yr

We are seeking an experienced MLOps Lead Engineer to take full ownership of our enterprise Machine Learning operations on the Databricks Lakehouse platform. In this role, you will design, automate ...

Senior AI Engineer - SFL Scientific

Saint Louis, MO ยท On-site

$101K - $139K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Senior Data Engineer

Hazelwood, MO ยท On-site

$100K - $135K/yr

Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments. * Collaborate with subject matter experts to understand ...

Senior Data Engineer

Hazelwood, MO ยท On-site

$100K - $135K/yr

Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments. * Collaborate with subject matter experts to understand ...

Showing results 21-40

Embedded Machine Learning Engineer information

See Troy, IL salary details

$65.2K

$142.9K

$162.1K

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

As of Sep 11, 2026, the average yearly pay for embedded machine learning engineer in Troy, IL is $142,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $161,100.00 per year, depending on experience, location, and employer.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What job categories do people searching Embedded Machine Learning Engineer jobs in Troy, IL look for?

The top searched job categories for Embedded Machine Learning Engineer jobs in Troy, IL are:

What cities near Troy, IL are hiring for Embedded Machine Learning Engineer jobs?

Cities near Troy, IL with the most Embedded Machine Learning Engineer job openings:

Infographic showing various Embedded Machine Learning Engineer job openings in Troy, IL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $142,866 per year, or $68.7 per hour.

MLE II

Saint Louis, MO โ€ข On-site

Brooksource
IT Servicesย โ€ขย 501 - 1,000 employees

$50 - $55/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Key responsibilities

  • Design and develop scalable machine learning frameworks and reusable platform capabilities that support enterprise AI initiatives.

  • Build production-quality Python applications and tooling to enable deep learning model development and deployment.

  • Support model monitoring, platform reliability, and continuous improvement of production machine learning systems.


Job description

Machine Learning Engineer II
Remote (U.S.)
Remote Role
Compensation: $50 - $55 per hour
ABOUT THE ROLE
Brooksource is partnering with a Fortune 50 healthcare organization to hire a Machine Learning Engineer II supporting its enterprise Predictive Modeling Organization within the Enterprise AI Platform Team. This team is responsible for building reusable machine learning frameworks, foundation models, and engineering tooling that enable predictive AI solutions across the business. Unlike many ML Engineering roles focused on a single product or use case, this team develops the underlying AI platform that dozens of data science teams rely on to rapidly build clinical and healthcare machine learning applications. If you enjoy building scalable software, solving complex engineering challenges, and working at the intersection of software engineering and modern AI, this is an opportunity to make an impact across an entire enterprise. The position offers comprehensive benefits and the opportunity to make a significant impact across an enterprise healthcare organization.
WHAT YOU'LL DO
  • Design and develop scalable machine learning frameworks and reusable platform capabilities that support enterprise AI initiatives.
  • Build production-quality Python applications and tooling to enable deep learning model development and deployment.
  • Improve the scalability, flexibility, and performance of the organization's machine learning platform.
  • Collaborate with machine learning researchers, data scientists, and software engineers to productionize emerging AI capabilities.
  • Support model monitoring, platform reliability, and continuous improvement of production machine learning systems.
  • Expand the platform to support new healthcare data sources, foundation models, and predictive modeling use cases.
WHAT YOU BRING
  • 1-3 years of experience in Software Engineering, Machine Learning Engineering, or a related technical discipline.
  • Strong Python development skills with experience writing clean, maintainable, production-quality code.
  • Experience building scalable software systems and applying modern software engineering best practices.
  • Familiarity with deep learning concepts and contemporary machine learning workflows.
  • Experience with technologies such as PyTorch, PyTorch Lightning, Apache Spark, MLOps, or transformer-based architectures (preferred).
  • Strong communication, problem-solving, and collaboration skills with the ability to thrive in a fast-paced, research-oriented environment.
WHAT'S IN IT FOR YOU
  • 401(k) Matching Plan
  • Medical, Dental & Vision Plans
  • Relationship-Driven Process to Find Your Best Fit
  • 6 Paid Holidays
  • Regular Meetings to Ensure Quality Throughout Your Engagement
HOW TO APPLY
Apply today to learn more about joining one of healthcare's most innovative AI engineering organizations. We'd love to discuss how your background aligns with this opportunity.
ABOUT US
At Brooksource, relationships are the foundation of everything we do. Since 2000, we've built lasting partnerships with clients, consultants, and internal teams to deliver an exceptional experience across every engagement.
As a trusted IT and Engineering services provider, Brooksource supports Fortune 500 organizations through Experience-Driven Staffing, Professional Services, and Elevate, our proprietary Workforce Transformation program. Whether you're looking for contract, contract-to-hire, or direct placement opportunities, we connect top technology talent with meaningful work that drives innovation.
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Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.
EEO:
We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.
Benefits & Perks:
Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.