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Embedded Machine Learning Internship Jobs in Richmond, VA

AEG

SponsorUniversity Regional Scout

Richmond, VA · On-site

$1.2K - $1.6K/wk

Internship Overview This program offers a hands-on, boots-on-the-ground learning experience in the sports sponsorship industry. Participants will be embedded directly into live sporting and ...

Airspace

FP&A Analyst

Richmond, VA · On-site +1

$70K - $80K/yr

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... internships considered). * A bachelor's degree in finance, accounting, economics, or a related ...

Capital One

Senior Lead Data Engineer

Richmond, VA · On-site

Lead a team of developers with deep experience in machine learning, distributed microservices, and ... At least 6 years of experience in application development (Internship experience does not apply)

Capital One

Senior Lead Data Engineer

Richmond, VA · On-site

Lead a team of developers with deep experience in machine learning, distributed microservices, and ... At least 6 years of experience in application development (Internship experience does not apply)

Capital One

Senior Lead Data Engineer

Richmond, VA · On-site

Lead a team of developers with deep experience in machine learning, distributed microservices, and ... At least 6 years of experience in application development (Internship experience does not apply)

Capital One

Senior Lead Data Engineer

Richmond, VA

Lead a team of developers with deep experience in machine learning, distributed microservices, and ... At least 6 years of experience in application development (Internship experience does not apply)

Capital One

Lead Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Work with a team of developers with deep experience in machine learning, distributed microservices ... At least 4 years of experience in application development (Internship experience does not apply)

Capital One

Senior Lead Data Engineer

Richmond, VA · On-site

Lead a team of developers with deep experience in machine learning, distributed microservices, and ... At least 6 years of experience in application development (Internship experience does not apply)

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Embedded Machine Learning Internship information

See Richmond, VA salary details

$25.2K

$42.1K

$87.1K

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

As of Sep 4, 2026, the average yearly pay for embedded machine learning internship in Richmond, VA is $42,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 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

Solutions, Consulting, & Engineering Intern - 2027

World Wide Technology

Richmond, VA

$18 - $25/hr

Full-time

Posted 9 days ago

World Wide Technology rating

7.8

Company rating: 7.8 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

88th of 226 rated it services

Job description

About World Wide Technology

At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.

With over 15,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 15 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

Tell me more about the Internship Program!

The WWT Internship Program is a 10 week summer program designed to give college students an opportunity to experience the workplace prior to graduation and enhance their education. Our program is focused on better preparing students for the business world while providing valuable contributions to our company. WWT interns work in a dynamic and collaborative culture that highlights career opportunities and advancement.

We are now hiring for Summer 2027. The program will begin in May 2027. This application is open from August 2026 through October 2026.

If you’re interested in Solutions, Consulting and Engineering this is the place for you!

Why Solutions Consulting & Engineering (SC&E)?

Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges. Areas within SC&E include Enterprise Architecture, Data Science, Digital Transformation, Management Consulting, Machine Learning Operations, Multicloud, and Security.

Relevant Majors:

  • Business Administration
  • Computer Science
  • Cyber Security
  • Data Science/Analytics
  • Economics/Statistics
  • Information Technology
  • Software Engineering
  • Master of Business Administration (MBA)

Qualifications:

  • Currently enrolled in a college, university, or certification program and will have at least 1 semester left after internship
  • You must have a graduation date of December 2027 or later to qualify for the program.
  • Must be pursuing a degree relevant to the role with a strong interest in numbers/mathematics
  • Proficient in Microsoft Office Suite with an emphasis in Excel
  • Strong written & verbal communication skills with keen attention to detail
  • Strong organizational, problem solving & analytical skills
  • Strong interpersonal skills
  • Strong independent judgment and leadership skills
  • Ability to collaborate well with others
  • Must provide reliable transportation & housing

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $18 to $25 per hour. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

If you have any questions or concerns about this posting, please email taposting@wwt.com.

To avoid duplicate applications, WWT's Internship Team recommends applying for ONE Intern position and listing your additional areas of interest in question 10 of the application.

World Wide Technology, LLC offers excellent benefits and competitive compensation. Visit our company web page at www.wwt.com for more information.

Equal Opportunity Employer Minorities/Women/Veterans/Disabled

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