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Embedded Machine Learning Internship Jobs in Severn, MD

Data Engineer

Washington, DC ยท On-site

$129K - $155K/yr

Develop and deploy standalone and embedded machine learning models supporting mission decision-making, automation, anomaly detection, and pattern recognition. * Select and implement appropriate ...

Data Engineer

Washington, DC

$129K - $155K/yr

Develop and deploy standalone and embedded machine learning models supporting mission decision-making, automation, anomaly detection, and pattern recognition. * Select and implement appropriate ...

Showing results 21-40

Embedded Machine Learning Internship information

See Severn, MD salary details

$28.3K

$47.3K

$97.8K

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

As of Sep 14, 2026, the average yearly pay for embedded machine learning internship in Severn, MD is $47,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,100.00 and $51,100.00 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 job categories do people searching Embedded Machine Learning Internship jobs in Severn, MD look for?

The top searched job categories for Embedded Machine Learning Internship jobs in Severn, MD are:

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

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

Infographic showing various Embedded Machine Learning Internship job openings in Severn, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $47,339 per year, or $22.8 per hour.

Cleared Machine Learning Software Engineer

Laurel, MD โ€ข On-site

Bestgate Engineering
Software Developmentย โ€ขย 11 - 50 employees

$230K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Cleared Machine Learning Software Engineer
Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations. In this role, you will design, develop, enhance, and prototype advanced analytics tools while leveraging Machine Learning and AI to modernize compliance functions. You will research, integrate, test, and deploy proof-of-concept solutions, develop machine learning models, automate data processing workflows, and implement metrics and monitoring to ensure reliable performance across applications and data flows.
Required:
  • 14+ years of software engineering experience supporting programs of similar scope, type, and complexity
  • Experience developing applications with Python, Java, and Scala in Linux environments.
  • Experience with machine learning model development, monitoring, Random Forest, feature engineering, and Scikit-learn.
  • Experience with exploratory data analysis (EDA), SQL, JSON, Lucene, JEXL, Ghostmachine (Map/Reduce), and Jupyter Notebooks.
  • Experience using Git/GitLab or Bitbucket/Stash, IntelliJ or Eclipse, Jira, Confluence, and GM Learn.
  • Familiarity with Agency compliance standards, corporate systems, and producing technical documentation.
  • Bachelor's degree in Computer Science, Information Technology, or a closely related field is preferred. In lieu of a degree, a minimum of 4 years of relevant work experience in engineering will be considered.
  • Required Security Clearance: TS/SCI w/Poly
Desired:
  • Experience with AWS, Apache Spark, and production machine learning implementations.
  • Background in Data Science, Agentic AI, Large Language Models (LLMs), or advanced machine learning techniques.
*Salary Range: $ 180,000 - $230,000
*The provided salary range is an approximation based on current market data and may vary. The final offer will be determined after carefully considering the candidate's skills, experience, and qualifications as they relate to the position. This range is intended as a reference point and is subject to change.
Bestgate Engineering is a leading software and systems engineering firm supporting military and government customers.
We are currently hiring Cleared Software Developers, CNO Engineers, Systems Engineers, DevOps Engineers, and Security Engineers.
At Bestgate, you'll work alongside some of the industry's most experienced software and systems engineers, tackling mission-critical challenges across cloud-native technologies, software modernization, embedded systems, data science, DevSecOps, and more. We believe exceptional people deserve exceptional support, which is why we offer a competitive benefits package focused on your well-being, career development, and work-life balance, including:
  • Competitive Pay - Less frill for more in your base pay.
  • Flexible PTO to fit your work/life needs + 11 holidays.
  • 7% 401k Employer Gift - Vested immediately.
  • 100% Paid Carefirst medical premiums for both individuals and families.
  • Training/Career Pathing - Annual budget for training, mentoring, and an Internal Mobility Program.
  • Morale Building Events - Time given to enjoy connecting with other Bestgate Employees.

Apply to learn more about us, and the work we have available!
External Referral Program - If now's not the right time, but you know someone that is looking for a change, we offer competitive external referral bonuses for every hire!
Equal Employment Opportunity: Bestgate Engineering is an Equal Opportunity Employer and federal contractor. We recruit, hire, train, compensate, and promote qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.