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Embedded Machine Learning Internship Jobs in Chicago, IL

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL

$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 ...

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 ...

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 ...

SMARTCARDIA INC

Cardiac Technician

Des Plaines, IL · On-site

$28 - $32/hr

Our core technology team includes leading minds in data science, embedded machine learning, wearable technology, and signal processing, and we're backed by some of the most respected investors in the ...

Motorola

Embedded Software Engineer

Schaumburg, IL · On-site

$66K - $95K/yr

... artificial intelligence and machine learning, reverse engineering, cybersecurity, signals ... Hands-on experience in embedded software development is also beneficial. * Our products are ...

Motorola

Embedded Software Engineer

Schaumburg, IL

$75K - $130K/yr

... and machine learning, cybersecurity, signals intelligence and more. We can't tell you much more ... Hands-on experience in embedded software development is also beneficial. Our products are developed ...

K1X

Data Engineer

Chicago, IL

$118K - $141K/yr

... Machine Learning. You willbe responsible forcreating reliable, scalable, and high-quality data systems that enable downstream ML models, reporting, and embedded analytics. WhatYou'llDo - Design ...

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

Embedded Machine Learning Internship information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

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

As of Aug 19, 2026, the average yearly pay for embedded machine learning internship in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 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.

What are the most commonly searched types of Embedded Machine Learning jobs in Chicago, IL?

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Embedded Machine Learning Internship jobs near you

Engineering Intern / Co-op

OceanComm, Inc.

Chicago, IL

$35 - $55/hr

Full-time

PTO

Re-posted 5 days ago

Job description

Join OceanComm's engineering team and help build undersea drones, intelligent sensors, and other cutting-edge undersea technology. This is a hands-on role for students in electrical and computer engineering, mechanical engineering, or related technical programs who want real experience at the intersection of acoustics, signal processing, 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 experienced engineers, receive training, and contribute to products used in defense, offshore energy, and oceanographic research. Many of our past interns have gone on to join OceanComm full-time. Strong performers will be considered for a full-time role after graduation.

About Us

Underwater, the wireless transfer of a single picture used to take an hour. We brought to market wireless modems that transfer data 100 to 1,000 times faster. Legacy modems were basically status/command links; our modems can control undersea drones with live video feedback, a game changer for exploring the underwater world. Because radio waves attenuate quickly underwater, our modems use sound waves to communicate. Leading organizations in defense, offshore energy and oceanographic research rely on OceanComm to keep their undersea drones connected.

Requirements

  • Actively enrolled in an academic program, not a recent graduate
  • Full-time, on-site commitment for a minimum of 12 weeks
  • Majoring in EE / CompE / MechE (or related)
  • Strong fundamentals (data structures / algorithms or circuits / digital / embedded or controls / mechanical design)
  • Proficiency in at least one of: C, C++, or Python; comfort with Git and writing unit tests
  • Strong communication and teamwork skills
  • Due to export-controlled work, candidates must be U.S. persons (U.S. citizen, U.S. permanent resident, or protected individual under 8 U.S.C. 1324b)
What Will Put You Ahead
  • Substantial projects (repo or short write-up)
  • Understanding of machine learning / signal processing fundamentals
  • Comfort with linear algebra
  • Experience with web development (especially TypeScript / Vue)
  • Experience with ROV / AUV hardware / software / control (e.g. ROS2)
  • Experience with CAD / 3D printing
  • Familiarity with lab equipment (e.g. oscilloscopes, probes, debuggers)
  • Familiarity with device interfaces (e.g. Ethernet, CAN, IC, SPI)
  • Familiarity with embedded development (e.g. bootloaders, device trees, drivers, RTOS)
  • Familiarity with Operating Systems concepts (e.g. schedulers, mutexes, virtual memory)
  • Experience with FPGA / RTL (e.g. SystemVerilog, UVM, cocotb)

Benefits

  • Close mentorship and training
  • End-to-end ownership of a scoped, impactful project
  • End-of-internship demo day
  • Paid vacation
Compensation

The pay range for this position is $35 - $55 per hour. 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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