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Embedded Machine Learning Internship Jobs in Chicago, IL

Encore

Senior Azure AI Platform Engineer

Schiller Park, IL · On-site

$122.10K - $161K/yr

This role focuses on creating the foundational services, patterns, and infrastructure that enable machine learning and generative AI features to be safely and effectively embedded across Encore ...

Pwc

US Tech - AI Engineering Manager

Rosemont, IL · On-site

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

RR Donnelley

Revenue AI Strategist

Warrenville, IL · On-site +1

$121.80K - $157.40K/yr

... ons, are embedded into core commercial workflows and directly improve costs or revenues. The ... Revenue Optimization: Define strategy to develop and implement AI machine learning models ...

Pwc

US Tech - AI Engineering Manager

Chicago, IL · On-site

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

RR Donnelley

Revenue AI Strategist

Warrenville, IL

$121.80K - $157.40K/yr

... ons, are embedded into core commercial workflows and directly improve costs or revenues. The ... Revenue Optimization: Define strategy to develop and implement AI machine learning models ...

RR Donnelley

Revenue AI Strategist

Warrenville, IL · On-site

$121.80K - $157.40K/yr

... ons, are embedded into core commercial workflows and directly improve costs or revenues. The ... Revenue Optimization: Define strategy to develop and implement AI machine learning models ...

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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 May 29, 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 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 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 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.
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Embedded Machine Learning Internship jobs near you
Student Teaching / Interns / Observations

Student Teaching / Interns / Observations

Berwyn South School District 100

Berwyn, IL • On-site

Internship

Posted 6 days ago

Job description

Position Type:
Student Teaching
Date Posted:
4/29/2024
Location:
All District 100 SchoolsDescription: Pre-Teachers seeking to observe or student teach at Berwyn South District 100 must complete this brief application.

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