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Embedded Machine Learning Internship Jobs in Raleigh, NC

Teleflex

Pr. Engineer, Software Dev, R&D

Morrisville, NC · On-site

... machine learning (AI/ML), application software, and embedded software systems. This role involves providing strategic cross-functional technical leadership to ensure alignment with best practices and ...

Jobs for Humanity

Speakers/Writers

Cary, NC · On-site

$15 - $60/hr

... machine learning concepts. Important Information: - This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. - Candidates must be ...

Clever Devices Ltd.

Associate

Apex, NC · On-site

$70K - $75K/yr

... building, machine learning, causality, and general data analysis. As this position is customer ... Prior internship or other work experience in a corporate environment. * Basic understanding of ...

Rambus

MTS Digital Engineering

Morrisville, NC · Hybrid

$58K - $108K/yr

Digital Integrated Circuits, Advanced VLSI Systems, Advanced Computer Architecture, Embedded Systems, Design and Analysis of Algorithms, Fundamentals of Machine Learning * Background in Digital RTL ...

Q2

Software Engineer

Cary, NC · Hybrid

The Role As a Full Stack Software Engineer, you will be embedded on the team that's creating the ... Exposure to airflow, Snowflake, docker, GitLab, machine learning. RESPONSIBILITIES * Design ...

Pentair

Data Architect

Apex, NC · On-site

$110K - $205K/yr

Prepare the environment for machine learning initiatives, including anomaly detection, predictive ... Experience with IoT telemetry, embedded systems, or connected consumer products. * Familiarity with ...

Bitovi

AI Automation Engineer V

Durham, NC · Remote

$126K - $244K/yr

... and machine learning services and large language model integrations * Demonstrated ability to ... Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products.

Rocket Software

Product Counsel Senior Director

Raleigh, NC

$226K - $237K/yr

... teams, providing embedded legal support across the product development lifecycle. * Develop ... Deep knowledge of and hands‑on experience with AI and machine learning legal issues, including AI ...

Bitovi

AI Automation Engineer V

Durham, NC · On-site +1

$126K - $244K/yr

... and machine learning services and large language model integrations * Demonstrated ability to ... Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products.

HedgeServ

Investor Services Administrator

Raleigh, NC · On-site +1

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... Accounting, Finance, Legal or Business Degree * 1+ years of relevant full time or internship ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Raleigh, NC

Embedded Machine Learning Internship information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

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

As of Jul 13, 2026, the average yearly pay for embedded machine learning internship in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 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 the most commonly searched types of Embedded Machine Learning jobs in Raleigh, NC? The most popular types of Embedded Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Embedded Machine Learning Internship jobs in Raleigh, NC? For Embedded Machine Learning Internship jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Internship jobs in Raleigh, NC look for? The top searched job categories for Embedded Machine Learning Internship jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Embedded Machine Learning Internship jobs? Cities near Raleigh, NC 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 Raleigh, NC as of July 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.
Pr. Engineer, Software Dev, R&D

Pr. Engineer, Software Dev, R&D

Teleflex

Morrisville, NC • On-site

Full-time

Posted 19 days ago

Teleflex rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

Job description

Expected Travel: Up to 10%
Requisition ID: 14010
About Teleflex Incorporated
As a global provider of medical technologies, Teleflex is driven by our purpose to improve the health and quality of people's lives. Through our vision to become the most trusted partner in healthcare, we offer a diverse portfolio with solutions in the therapy areas of anesthesia, emergency medicine, interventional cardiology and radiology, surgical, vascular access, and urology. We believe that the potential of great people, purpose-driven innovation, and world-class products can shape the future direction of healthcare.
Teleflex is the home of Arrow™, Barrigel™, Deknatel™, LMA™, Pilling™, QuikClot™, Rüsch™, UroLift™ and Weck™ - trusted brands united by a common sense of purpose.
At Teleflex, we are empowering the future of healthcare. For more information, please visit teleflex.com.
Vascular & Emergency Medicine - Built on a legacy of innovation and clinical excellence, the Vascular & Emergency Medicine business at Teleflex develops and delivers advanced medical technologies that empower clinicians to help improve patient outcomes and optimize healthcare efficiency. Our trusted Arrow™, Arrow™, EZ-IO™, and QuikClot™ brands set the standard for vascular access and emergency medicine, offering proven solutions to enhance patient outcomes. From technically advanced vascular access devices - including central venous and arterial catheters, PICCs, and sheath introducers with antimicrobial protection-to life-saving intraosseous access systems and hemostatic technologies used by hospitals, EMS, and military teams worldwide, our portfolio embodies precision, reliability, and performance. As part of a high-performing, purpose-driven organization, we are united by a commitment to clinical differentiation, innovation, and excellence. Join a dynamic, growth-focused team that offers advanced medical technology solutions that make a lasting impact on healthcare.
Position Summary
As a Principal Engineer specializing in Software, you will lead technological innovations in vascular positioning systems, including artificial intelligence/machine learning (AI/ML), application software, and embedded software systems. This role involves providing strategic cross-functional technical leadership to ensure alignment with best practices and frameworks for delivering high-quality software solutions. You will be responsible for driving software excellence, achieving reliable and predictable software market releases.
Principal Responsibilities
• Create the overall product software architecture for connected medical device software systems, ensuring scalability, reliability, and maintainability.
• Owns the software development life cycle for connected medical device software systems, ensuring high-quality software is developed that is safe, secure and compliant.
• Lead software developers, third-party designers, vendors, and contractors to deliver high-quality software solutions.
• Lead design control activities and documentation efforts, including requirements, risk assessments and mitigation, traceability, V&V protocols and reports, coding reviews, and software releases.
• Lead and establish software development best practices within a growing business franchise.
• Oversee the end-to-end delivery process of our applications, ensuring smooth and efficient operations from initial planning through development, testing, and deployment of software features.
• Comply with Teleflex's code of Ethics, the company's Quality System, and all company policies, rules, and housekeeping standards.
Education / Experience Requirements
• Bachelors Degree in Computer Science or equivalent with appropriate experience (Computer Engineering, Electrical Engineering).
• 12+ years of software development in senior development and lead roles, preferably in medical devices or regulated industry, with a proven track record of deployment in commercial products.
Specialized Skills / Other Requirements
• Expertise and depth of understanding of modern programming languages (C++ and C#) and design patterns utilized within embedded systems applications.
• Expertise and experience developing medical devices within a Linux environment.
• Expertise and depth of understanding of creating software architecture for Software in Medical Device (SiMD) and Software as Medical Device (SaMD) software systems.
• Knowledge and experience with Cybersecurity best practices and Cybersecurity compliance as it pertains to FDA guidance within the development of medical devices.
• Experience utilizing an Agile software development framework, including Scrum and Continuous Integration/Delivery (CI/CD).
• Proven experience as a Software Team Leader with the ability to influence and collaborate with key stakeholders and leaders.
• Experience with medical device regulatory standards such as 21 CFR Part 820, IEC 60601, IEC 62304, and ISO 13485, including experience with system risk, hazard analysis, and DFMEA.
• Deep commitment to understanding and solving problems for end users, with an ability to translate into software requirements, design, and test specifications.
• Highly motivated to develop talent, mentor, and build high-performing teams. Track record of strong cross-functional collaboration, influence without authority, and project management, enabling highly effective project teams.
• Proven self-starter who runs towards critical issues, ambiguous requirements, or loosely defined challenges with a demonstrated ability to rally teams to achieve business results.
• Comfortable debugging complex integrated systems spanning hardware, embedded, and application software in medical devices (preferred).
• Familiarity with ECG monitoring systems and Ultrasound imaging systems (preferred).
• Experience with regulated software incorporating artificial intelligence and machine learning (preferred).
• Experience with software development and workflows incorporating AI-based development tools (preferred).
• Excellent verbal and written communication skills.
#LI-EB1
Working Conditions / Physical Demands
TRAVEL REQUIRED: <10%
WORKING ENVIRONMENT:
☒ Office/Professional ☐ Plant/Manufacturing ☐ Remote/Field ☐ Laboratory
At Teleflex, we follow a comprehensive hiring process. We do not accept unsolicited resumes from agency recruiters or 3rd party firms. We do not make unsolicited job offers. We do not ask for money or require equipment purchase up-front.
Teleflex Incorporated is an equal opportunity employer. Applicants will be considered without regard to age, race, religion, color, national origin, ancestry, sexual orientation, disability, nationality, sex, or veteran status. If you require accommodation to apply for a position, please contact us at: 877-880-8588 or Talent@Teleflex.com.
Teleflex, the Teleflex logo, Arrow™, Barrigel™, Deknatel™, LMA™, Pilling™, QuikClot™, Rüsch™, UroLift™ and Weck™ are trademarks or registered trademarks of Teleflex Incorporated or its affiliates, in the U.S. and/or other countries.
© 2026 Teleflex Incorporated. All rights reserved.

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