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Embedded Machine Learning Internship Jobs in Towson, MD

Sbdinc

Embedded Engineering Summer Intern 2027

Towson, MD · On-site

$22 - $27/hr

About Our Internship Program: Throughout your internship, you will have regular events, weekly ... Learning & Development: Our lifelong learning philosophy means you'll have access to a wealth of ...

AIToolboard

AI Research Scientist

Baltimore, MD · On-site

D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field ... Mentor junior researchers and interns. Present research findings to technical and non-technical ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Towson, MD

Embedded Machine Learning Internship information

See Towson, MD salary details

$24.4K

$40.8K

$84.3K

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

As of Sep 13, 2026, the average yearly pay for embedded machine learning internship in Towson, MD is $40,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,100.00 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 popular job titles related to Embedded Machine Learning Internship jobs in Towson, MD?

For Embedded Machine Learning Internship jobs in Towson, MD, the most frequently searched job titles are:

What cities near Towson, MD are hiring for Embedded Machine Learning Internship jobs?

Cities near Towson, MD with the most Embedded Machine Learning Internship job openings:

Embedded Machine Learning Internship jobs near you

Embedded Systems Design Engineer

Laurel, MD • On-site

Johns Hopkins Applied Physics Laboratory
Manufacturing • 5 - 10K employees
Learn more about Johns Hopkins Applied Physics Laboratoryexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Key responsibilities

  • Develop software and firmware for real-time embedded systems.

  • Implement digital signal processing (DSP) algorithms for communication, data link, radar, and jamming signals.

  • Test and demonstrate work in field tests and lab demos.

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Description
Do you love designing algorithms and developing on embedded systems to solve hard problems with real-world applications?
Are you eager to take initiative and work on projects across a multidisciplinary problem space, from high-reliability to rapid prototyping?
Do you want to work in an atmosphere where risk taking, innovation, and creativity are openly encouraged and sought out?
If so, we're looking for someone like you to join our team at APL!
We are seeking an Embedded Systems Design Engineer to help us build innovative technology applications for the next generation of electronic warfare (EW) systems. Your work will contribute to ensuring the US and its allies dominate the RF spectrum. You 'll be joining our hardworking team of system engineers, algorithm developers, FPGA and embedded software engineers, and advanced EW technology enthusiasts who enjoy working together to craft creative solutions to complex challenges in addition to bringing real solutions from concept to prototyping.
As an Embedded Systems Engineer, we will trust you to ...
  • Develop software and firmware for real-time embedded systems.
  • Implement digital signal processing (DSP) algorithms for various types of communication, data link, radar, and jamming signals.
  • Integrate embedded systems with EW payloads.
  • Apply Machine Learning (ML)/Artificial Intelligence (AI) algorithms for EW applications.
  • Test and demonstrate your work in field tests and lab demos.

Qualifications
You meet our minimum qualifications for the job if you ...
  • Have a Bachelor's degree in Electrical Engineering, Computer Engineering, or a closely related technical field.
  • Have experience with MATLAB, C/C++, Python, or similar programming languages.
  • Have relevant experience working with embedded systems and embedded programming.
  • Have general knowledge of embedded systems design with FPGAs.
  • Are able to obtain an Interim Secret level security clearance by your start date, and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You 'll go above and beyond our minimum requirements if you ...
  • Have a Master's degree in Electrical Engineering or Computer Engineering.
  • Have at least seven years of relevant experience working with embedded systems and embedded programming.
  • Have experience with VHDL, Verilog, or other FPGA development languages.
  • Have experience in programming for Software Defined Radio (SDR).
  • Are experienced with high-speed FPGA design.
  • Are experienced with digital signal processing (DSP) algorithms.
  • Hold an active DoD Secret level clearance or higher.

#LI-AG1
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$100,000 Annually
Maximum Rate
$245,000 Annually

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