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Embedded Machine Learning Internship Jobs in Maryland

Analytica

2027 Summer Intern Associate

Bethesda, MD · On-site +1

$16 - $21.50/hr

  • Medical

  • Retirement

Proficiency in Microsoft Office or Google Workspace Preferred Qualifications (Varies by internship track) * Data Science: Python, R, statistics, machine learning coursework * Data Engineering: SQL ...

Nightwing

Senior Software Engineer

Annapolis Junction, MD · On-site

$125K - $165K/yr

... machine learning models and AI-driven analytics to augment signal processing and network ... with embedded systems and hardware/software integration. • Experience integrating and applying ...

Deloitte

Cyber - SecOps - Consultant

Baltimore, MD · On-site

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

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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.

What are the most commonly searched types of Embedded Machine Learning jobs in Maryland?

The most popular types of Embedded Machine Learning jobs in Maryland are:

What are popular job titles related to Embedded Machine Learning Internship jobs in Maryland?

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

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

Embedded Machine Learning Internship jobs near you

Systems Engineer for Embedded Software

Johns Hopkins University AppliedPhysicsLaboratory

Laurel, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

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Job description

Description
Are you a problem solver ready to contribute to the exploration of space?
Are you passionate about applying software engineering skills to sophisticated and meaningful space systems?
Do you work best in an intellectually stimulating environment?
If so, we're looking for someone like you to join our team at APL.
We are seeking a motivated and creative systems engineering team member to help us with the software-related aspects of design, development, and integration of space systems. Our space missions include the robotic exploration of our solar system spanning Sol's corona to Pluto, and beyond. Our spacecraft technologies help our civilian space and national security space sponsors reason about multiple new technologies including space-based networking, machine learning, cyber security, and image recognition. As a member of our team, you will develop novel solutions and new technologies across numerous space missions and embedded real-time systems. You will work with teams of engineers and scientists passionate about innovation and driven to make a real difference.
As a systems engineer for embedded software...
  • Your primary responsibility will be to achieve space mission objectives by defining software requirements, concepts of operations, and architectures as part of a system engineering team and working directly with software subsystem technical leads.
  • You will apply systems and software engineering principles to craft, develop, and test spacecraft systems while tailoring the lifecycle approach to the scale of the mission
  • You will plan and direct test campaigns to verify and validate that operational software meets mission requirements and expectations
  • You will share knowledge by mentoring other APL staff, engaging with spacecraft engineers, and participating in focused working groups

Qualifications
You meet our minimum qualifications for the job if you...
  • Possess a Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field.
  • Have 10+ years of experience planning software development efforts, developing and analyzing requirements, architecting software solutions, and developing and tracking resource plans.
  • Are skilled in leading software engineering projects of 10 or more software engineers.
  • Demonstrate experience delivering and deploying embedded software solutions to operational systems.
  • Have solid understanding of agile methodology, techniques, and frameworks to deliver software solutions.
  • Demonstrate good interpersonal skills and are capable of working either independently or collaboratively on a mission team.
  • Possess excellent written and oral communication skills.
  • Are able to obtain a Top Secret level security 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...
  • Possess a Master's Degree or Ph.D. in Computer Science, Electrical or Computer Engineering, or related field
  • Have 15+ years of experience in full lifecycle embedded software development (requirements development through deployment / operational support) for aerospace systems.
  • Have experience in both spacecraft flight and ground software development.
  • Have experience in technical management.
  • Have worked with aeronautical or spacecraft control systems.
  • Have experience with the use of Command-and-Telemetry Ground-Systems / Data-Systems, to include command and telemetry definitions, development of display-screens.
  • Experience developing embedded software on multi-core processors.
  • Possess a Top Secret level security clearance.

Be Part of Something Innovative
Over the past 25 years, the Space Exploration Sector at APL, has pushed the boundaries of what is possible; delivering game-changing impacts to sponsors like NASA and the Department of Defense. This includes historic, science space firsts like New Horizons reaching Pluto, Parker Solar Probe being the first to "touch" the sun, and the DART mission that redirected an asteroid for planetary defense. As a not-for-profit university affiliated research center, APL also delivered solutions to our nation's national security challenges, as proven with the recent Deep Space Advanced Radar Concept (DARC) Tech Demo, and acts as a trusted partner with the US Space Force in space domain awareness and space-integrated warfare.
APL teams are currently developing missions that will advance the search for life in the Solar System through programs such as Europa Clipper and Dragonfly, exploring the lunar and cislunar domains, and providing fundamental knowledge of our Sun's influence on the near-Earth environment through IMAP and other research and technology endeavors. To learn about these APL's mission and projects, and ;br>
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 ;br>
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
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
$105,000 Annually
Maximum Rate
$290,000 Annually

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