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Remote Embedded Machine Learning Jobs in Naperville, IL

D.W. Simpson

Consulting Actuary - Remote

Chicago, IL · On-site +1

$185K/yr

... machine learning. The ideal candidate would have at least 5 years of actuarial experience ... Remote Meet Your Recruiter Arturo Aguilera Director, Social Media & Marketing Arturo joined DW ...

Enova International

Be Seen First

Call Center Sales Representative (Remote)

Chicago, IL · Remote

$17/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is entirely remote; however, candidates must reside within 100 miles of either Chicago ... our AI and machine learning-powered ColossusTM platform. We serve non-prime consumers and ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Tempus

Bioinformatics Scientist

Chicago, IL · On-site +1

Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

YO AI Labs

AI Data Science Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Scientist Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

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Showing results 21-40

All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Naperville, IL

Remote Embedded Machine Learning information

See Naperville, IL salary details

$69.9K

$153.2K

$173.7K

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

As of Aug 16, 2026, the average yearly pay for remote embedded machine learning in Naperville, IL is $153,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,300.00 and $172,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote 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 science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a remote embedded machine learning engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

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

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by remote embedded machine learning engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.

What are popular job titles related to Remote Embedded Machine Learning jobs in Naperville, IL?

For Remote Embedded Machine Learning jobs in Naperville, IL, the most frequently searched job titles are:

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

The top searched job categories for Remote Embedded Machine Learning jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Remote Embedded Machine Learning jobs?

Cities near Naperville, IL with the most Remote Embedded Machine Learning job openings:

Remote Embedded Machine Learning jobs near you
Infographic showing various Remote Embedded Machine Learning job openings in Naperville, IL as of August 2026, with employment types broken down into 31% Full Time, 36% Part Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $153,155 per year, or $73.6 per hour.

Consulting Actuary - Remote

D.W. Simpson

Chicago, IL • On-site, Remote

$185K/yr

Full-time

Posted 16 days ago

Job description

Job Description
Looking for an opportunity to really make an impact? P&C consulting firm is in search of a highly motivated Actuary who will help manage & grow a portfolio of client relationships. In this role, you will partner with analysts & data scientists to scope & execute actuarial analyses rooted in machine learning. The ideal candidate would have at least 5 years of actuarial experience, preferably with direct client facing experience. Must be familiar with predictive modeling, have strong communication, and be comfortable learning and using AI tools. Completion of Exam 5 required, ACAS or FCAS designation preferred. (#58756)
Compensation:
  • Salary range of $135-185K

Location:
  • Remote

Meet Your Recruiter
Arturo Aguilera
Director, Social Media & Marketing
Arturo joined DW Simpson in 2017 and is currently the Social Media Specialist. He is in charge of running and maintaining DW Simpson's social media presence, increasing brand awareness and improving marketing efforts.
Arturo attended Columbia College Chicago where he graduated with a BFA in Advertising Art Direction. He enjoys attending concerts, dive bars, and art museums.
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  • arturo.aguilera@dwsimpson.com
DW Simpson logo

About DW Simpson

Sourced by ZipRecruiter

We have offices all over the United States and place professionals globally. Our expertise includes property & casualty, life, health, pension, and increasingly non-traditional areas such as risk management, catastrophe modeling, predictive modeling, financial modeling, and data analytics. Mission Our mission is to be the premier executive recruiting firm specializing in the placement of actuaries and analytics professionals; to be recognized for the best service, integrity and forthrightness that the firm brings to each business relationship; and to be willing at all times to sacrifice short-term gain for the long-term good and prosperity of our clients, our candidates and, as a result, our organization as well. Diversity, Equity, and Inclusion Statement We are dedicated to hiring and retaining diverse talent and ensuring that we treat everyone with respect and support. We embrace diversity and strive to create conditions that provide everyone with an equal opportunity to thrive. Our employment practices will not be influenced or affected by an applicant’s or employee’s race, color, religion, gender, sexual orientation, gender identity, disability, pregnancy, national origin, marital status, genetic information, age, veteran status, or any other characteristic protected under applicable federal, state, or local laws.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Chicago, IL, US

Year founded

1989

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