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Embedded Machine Learning Internship Jobs in Washington

AV

Summer 2027 Machine Learning Intern

Centreville, VA · On-site

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

Mixpeek

Machine Learning Engineer

Washington, DC · On-site

$200 - $250/hr

The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM ... Experience in a customer-facing or embedded delivery role. * Exposure to federated or privacy ...

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Embedded Machine Learning Internship information

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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Cities in Washington with the most Embedded Machine Learning Internship job openings:

Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Washington as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

Internship - Machine Learning (Python) Research & Applied AI

Ashburn, VA • On-site

Novateur Research Solutions
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Re-posted 2 days ago

Job description

Internship Opportunity — Machine Learning (Python) | Research & Applied AI


Novateur Research Solutions, LLC is looking for motivated interns with strong Python programming skills to join our team working on cutting-edge machine learning and data-driven research.

We work on challenging, real-world problems where ML meets large-scale systems and complex data—ranging from healthcare to geospatial intelligence and simulation.

What you'll work on:

  • Medical image analysis (computer vision for healthcare applications)
  • Geospatial data mining and spatial intelligence
  • Long-term spatiotemporal modeling and forecasting
  • Large-scale microsimulation and computational modeling

Required Skills:

  • Strong Python programming ability
  • Experience with PyTorch or TensorFlow
  • Solid understanding of machine learning fundamentals
  • Comfort working with data structures and debugging code
  • Ability to learn quickly in a research-oriented setting

What you'll gain:

  • Hands-on experience solving real-world ML research problems
  • Exposure to interdisciplinary AI applications
  • Mentorship from experienced researchers and engineers
  • Opportunity to contribute to impactful, production-relevant research

Apply