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Embedded Machine Learning Internship Jobs in Leesburg, VA

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Embedded Machine Learning Internship information

See Leesburg, VA salary details

$25.8K

$43.1K

$89K

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

As of Aug 10, 2026, the average yearly pay for embedded machine learning internship in Leesburg, VA is $43,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 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
Infographic showing various Embedded Machine Learning Internship job openings in Leesburg, VA as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 31% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $43,072 per year, or $20.7 per hour.

Senior Embedded Engineer with Security Clearance

Smart Synergies

Chantilly, VA • On-site

$128K - $167K/yr

Contractor

Posted 4 days ago

Job description

Job Summary Client is currently seeking candidates for a full-time position as a Senior Computer Engineer. This position will provide support at a client facility in the Chantilly, VA area. Responsibilities Collecting, organizing, and analyzing technical information from multiple sources to drive client missions and quick-turn tasks in fast-paced environments.
Aid in the design and implementation of machine learning and data engineering techniques for application to advanced client missions in science and technology (S&T) fields.
C/C++ development that supports critical customer missions
Applying concepts from newer compiled languages such as Go, or Rust to embedded development.
Developing for real time operating systems (RTOS) and interesting embedded systems.
Applying understanding of software development to the analysis of compiled custom operating systems by learning reverse engineering principles.
Collaborating in a multi-disciplinary environment while working independently and leading tasks on time and on budget.
Independently propose, develop, and execute creative solutions to unique problems
Providing thorough and completed products that require minor revisions and/or editing.
Proactively managing expectations and meeting deadlines in a fast-moving, agile environment.
Maintaining excellent communication and interaction with both co-located and geographically diverse team members Key Qualifications Bachelor’s degree in CS, CE, EE or related field with (15+) years of experience, or master’s degree in related field with (10+) year of experience, or Ph.D. with (8+) years of experience; or an equivalent combination of education and experience in a related field.
Strong understanding of embedded software development in C/C++
Experience or desire to code in Go or Rust.
Experience in national security, defense, and/or intelligence communities.
Must be a US Citizen with an active TS/SCI clearance with polygraph.

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