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Embedded Machine Learning Internship Jobs in Romeoville, IL

OceanComm, Inc.

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 ... Many of our past interns have gone on to join OceanComm full‑time. Strong performers will be ...

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market simulations, and exposure to modern research and AI tools ...

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site

$70K - $88K/yr

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market simulations, and exposure to modern research and AI tools ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Romeoville, IL

Embedded Machine Learning Internship information

See Romeoville, IL salary details

$26K

$43.4K

$89.7K

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

As of Sep 11, 2026, the average yearly pay for embedded machine learning internship in Romeoville, IL is $43,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,900.00 per year, depending on experience, location, and employer.

What is an embedded machine learning internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an embedded machine learning internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an embedded machine learning intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.

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Embedded Machine Learning Internship jobs near you

Senior Embedded Software Engineer, DSP

Chicago, IL • On-site

OceanComm, Inc.
Telecommunications • 1 - 10 employees
Learn more about OceanComm, Inc.external

$140K - $175K/yr

Other

PTO

Re-posted 11 days ago

Job description

Underwater communication is one of the hardest wireless problems on Earth. Radio waves attenuate quickly underwater, so our systems use sound, much like whales and dolphins, to transmit high‑bandwidth data, including video. We are looking for engineers excited by challenging embedded DSP problems where algorithms, firmware, electronics, mechanics, and real‑world operating conditions all have to work together.

This is a high‑ownership role on a small, quickly growing team. You will not be one engineer among hundreds working on a narrow subsystem; you will have direct visibility into the full product, from modem firmware and acoustic signal processing to undersea drones and customer deployments.

About Us

Underwater, the wireless transfer of a single picture used to take an hour. OceanComm brought to market wireless modems that transfer data 100 to 1,000 times faster. Legacy modems were largely status and command links; our modems can control undersea drones with live video feedback, fundamentally changing what operators can see, decide, and do underwater. Leading organizations in defense, offshore energy and oceanographic research rely on OceanComm to keep their undersea systems connected.

What You Will Do
  • Develop and maintain real‑time embedded C/C++ code for core components of OceanComm’s acoustic modem firmware, owning features from concept through deployment
  • Provide technical leadership through exemplary code and design judgment that others trust and want to build on
  • Implement, optimize, and validate advanced acoustic signal processing algorithms
  • Collaborate with electrical, mechanical, systems, and field teams to define interfaces and verify system performance
  • Develop tests, tools, and procedures for firmware validation, hardware bring‑up, production test, troubleshooting, and repair
  • Help evaluate tradeoffs in performance, reliability, complexity, schedule, cost, and risk
  • Help improve engineering culture, communication, and technical standards as the team grows
Qualifications
  • B.S. or M.S. in Electrical Engineering, Computer Engineering or related discipline
  • 5+ years of experience developing embedded real‑time systems with C/C++
  • Proficiency in developing DSP software for real‑time systems
  • Solid knowledge of linear algebra, signal processing theory, algorithms, and implementation techniques (filters, transforms, synchronization, estimation, etc.)
  • Experience drafting technical documentation
  • Strong written and verbal communication skills
  • U.S. Person
What Will Put You Ahead
  • Experience with underwater acoustic communications, sonar, modem design, SDR, RF communications, or similar signal‑processing systems
  • Experience optimizing DSP algorithms for embedded platforms, including fixed‑point, floating‑point, memory, latency, or power constraints
  • Experience with machine learning models deployed on embedded platforms
  • Experience designing domain‑specific deep neural networks
  • Experience with analog and mixed‑signal integrated circuits, e.g., low‑noise amplifiers, analog‑to‑digital converters, and integrated analog‑front‑ends
Benefits
  • Competitive base salary and incentive stock options
  • Paid vacation starting at 20 days per year, increasing with tenure
  • Paid sick leave with carryover
  • Flexible schedule with core hours
  • Close mentorship from experienced engineers and technical leaders
  • Professional development support for conferences, books, courses, or technical training
  • Hands‑on work with advanced acoustic, embedded, and undersea robotics hardware
Compensation

The pay range for this position is $140,000 – $175,000 per year. Actual pay will depend on the candidate’s experience and skills demonstrated during interviews and other evaluations.

OceanComm is an Equal Opportunity Employer, including disability/vet.

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