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Embedded Machine Learning Internship Jobs in Severn, MD

Parsons

Machine Learning / Data Scientist

Washington, DC

$88K - $154K/yr

The Machine Learning / Data Scientist is a hands-on practitioner with strong capabilities in model ... Familiarity with integrating model outputs into BI tools or applications (e.g., via APIs, embedded ...

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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 Jun 9, 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:
Embedded Machine Learning Internship jobs near you
Pre-Sales Solution Engineer (U.S. Remote work eligible)

Pre-Sales Solution Engineer (U.S. Remote work eligible)

Qualcomm

Washington, DC • On-site, Remote

Full-time

Posted 4 days ago

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 186 rated software companies

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Software Applications Engineering
General Summary:
Are you ready to combine the fast-paced energy of an innovative startup with the resources and stability of a global tech leader? This opportunity blends both worlds into one. Edge Impulse has joined forces with the Industrial Embedded IoT division of Qualcomm, and we are growing our team because Edge AI is an important part of Qualcommʼs diversification roadmap.
Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, enabling devices to make decisions and generate insight where data is gathered. Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to NPUs & GPUs. The ease of use and versatility that Edge Impulse provides supports customers launching AI-empowered devices globally to solve the planet's biggest problems with novel high-tech solutions. Used by industrial organizations, health and wearables companies, as well as top silicon vendors, Edge Impulse has become the trusted ML platform for enterprises and developers alike. We are growing!
This technical pre-sales engineering opportunity works with our North American customers to build and optimize their data management and machine learning strategy. Focus on device-aware machine learning, data onboarding, curation, tuning, and extensibility. Edge Impulse empowers enterprise development teams to rapidly research & develop industry-specific Edge AI solutions and launch successful AI-powered products.
Are you excited about Edge AI? Want to design data pipelines and embedded machine learning solutions for next-generation intelligent products & devices going to market? This is an opportunity to gain experience working across multiple industries, use cases, and technical domains. If this sounds like your next career move, then we want to talk with you.
Primary Responsibilities
• Guide and collaborate with prospective customers throughout North America as a trusted technical advisor to design and optimize their data management, machine learning workflow, and model deployment with Edge Impulse.
• Contribute to sales & marketing activities by participating in events, visiting prospects, and performing presentations, and demonstrations.
• Work with engineering and account management teams to envision machine learning solutions and solve technical challenges for intelligent devices in industries such as industrial automation, automotive, digital health, and more.
• Develop transformation, processing, training, and deployment code to create machine learning models from large datasets and deploy to resource-constrained devices.
This position is eligible to work remotely in the U.S.
#EdgeImpulse
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
• 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
• 1+ year of experience with debugging techniques.
Preferred Qualifications:
• Track record of multi-disciplinary problem solving and working across domains, teams, and companies in the US & NA region to develop complex technical solutions.
• Experience developing embedded or cloud software (python, C/C, or equivalent) with exposure to Linux or RTOSs.
• Experience with data analysis & machine learning, including Python ML & data libraries (e.g. TensorFlow, Keras, PyTorch, NumPy, Pandas, or equivalent).
• Experience developing, launching, or maintaining technical products in relevant commercial industries (e.g. industrial, medical, automotive, IoT, or related markets).
• Track record of teaming, leading, and consulting to drive ambitious technical projects to success in lean distributed organizations.
• Fostering a growth mindset with a demonstrated history of learning, adapting, improving, and growing individually, as a team, and with your customers.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$130,400.00 - $195,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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