ZipRecruiter

Log In

2

Remote Embedded Machine Learning Jobs in Naperville, IL

Shure

Audio DSP Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... Understanding of embedded platform development * Project work with AI/ML algorithms

Shure

Audio DSP Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... Understanding of embedded platform development * Project work with AI/ML algorithms

Shure

Audio DSP Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... Understanding of embedded platform development * Project work with AI/ML algorithms

Shure

Digital Signal Processing Intern

Niles, IL · On-site +1

$23 - $43/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... Port entire audio flow projects from embedded application to offline simulations * Explore audio ...

Shure

Digital Signal Processing Intern

Niles, IL · On-site +1

$23 - $43/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... Port entire audio flow projects from embedded application to offline simulations * Explore audio ...

Shure

Digital Signal Processing Intern

Niles, IL · On-site +1

$23 - $43/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... Port entire audio flow projects from embedded application to offline simulations * Explore audio ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

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 ...

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 ...

previous pagenext page

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 Sep 9, 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 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 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 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 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 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:

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 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $153,155 per year, or $73.6 per hour.

Trading Strategy Software Engineer

Chicago, IL • On-site, Remote

BlackEdge Capital
Finance and Insurance • 1 - 10 employees
Learn more about BlackEdge Capitalexternal

Full-time

Re-posted 21 days ago

Key responsibilities

  • Design, build, and optimize nanosecond level trading systems in C++ from architecture to live production.

  • Partner with hardware engineers on FPGA integration and co-design software/hardware communication.

  • Work with researchers to integrate machine learning signals into the automated trading system.

Job description

The Role

BlackEdge Capital is hiring a Trading Strategy Software Engineer to join our technology team and build the systems at the heart of a high frequency, machine learning driven trading effort that operates at the nanosecond level. This is a focused, ambitious initiative at an early stage, which means real ownership and the chance to shape the systems and the codebase from the ground up. Members of our executive team are hands on in this work right now, so you will build alongside the people setting the firm's long-term technical and trading direction.

You will own performance critical software in C++, co-design the hot path with our FPGA hardware engineers, and work shoulder to shoulder with researchers to move machine learning models from idea to live trading. This is a role for someone energized by sitting at the intersection of low-level systems, custom hardware, and applied research, where every nanosecond on the path from signal to order matters.

What You'll Do
  • Design, build, and relentlessly optimize nanosecond level trading systems in C++, owning code from architecture through live production.
  • Partner closely with hardware engineers on FPGA integration, co-designing the software/hardware logic split and communication across that boundary.
  • Work directly with researchers to take machine learning signals from idea to development to production by integrating them into our automated trading system.
  • Keep the codebase clean: we favor a pragmatic, deliberately chosen subset of modern C++ that prioritizes simplicity, clarity, and maintainability.
What We're Looking For
  • Pragmatic C++: Strong command of modern C++ in performance critical systems, with the judgment to keep code simple and clear.
  • Systems depth: Deep understanding of operating system design, cache behavior, memory, and concurrency and how they can be tuned to extract performance.
  • Low latency mindset: A demonstrated ability to design and reason about latency critical software; you think in nanoseconds, not just milliseconds.
  • Collaboration: You enjoy working across boundaries and communicate well with people from diverse backgrounds and skills.
Nice to Have
  • Hands on experience with FPGAs, HLS, or close software/hardware co design.
  • Kernel bypass networking (ef_vi / OpenOnload, DPDK) and low-level network programming.
  • Exposure to machine learning, quantitative research, or production model deployment.
  • Familiarity with futures markets or market microstructure.
About BlackEdge Capital

BlackEdge Capital is a proprietary options market maker built on industry leading technology and a deeply collaborative culture. We compete at the highest technical level in electronic markets, and we win by pairing exceptional engineering with incisive research. Everyone here is a genuine partner in the trading process, embedded in the strategy, close to the technology, and shaping the direction of the firm itself.

How We Work

We are Chicago based and support remote work. We value clarity and simplicity over cleverness for its own sake, tight feedback loops between trading, technology, and operations, and people who take ownership end to end.

Compensation is highly competitive, with significant upside clearly and explicitly tied to firm profit and individual performance. Our model is transparent: bonuses are a share of firm profit, and because your share scales with your performance, a strong year for you and the firm compounds.

Interested? Send us your resume and a short note on where you see yourself contributing at BlackEdge. Humans review every submission.

BlackEdge Capital is an equal opportunity employer. We evaluate candidates on the merit of their work and welcome applicants of every background.

Apply