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Embedded Machine Learning Internship Jobs in Laveen, AZ

PNC Bank

Technology Undergraduate Intern

Phoenix, AZ

$18 - $35/hr

Past example internship projects include machine learning development, automating current manual processes, infrastructure provisioning, and outer API servicing. PNC looks for interns to bring a ...

Intel

Senior AI / Data Science Engineer

Phoenix, AZ

$105K - $143K/yr

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... experience, internship experience and / or schoolwork/classes/research. The preferred ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

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Showing results 21-40

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Laveen, AZ

Embedded Machine Learning Internship information

See Laveen, AZ salary details

$24.1K

$40.2K

$83.1K

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

As of Aug 17, 2026, the average yearly pay for embedded machine learning internship in Laveen, AZ is $40,229.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,700.00 and $43,500.00 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 cities near Laveen, AZ are hiring for Embedded Machine Learning Internship jobs?

Cities near Laveen, AZ 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 Laveen, AZ as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,229 per year, or $19.3 per hour.

AI & Computer Vision Engineer

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

Full-time

Posted 25 days ago

Job description

Job Type
Full-time
Description
Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology. Our work spans the full system lifecycle-from R&D to operational deployment-supporting the Department of Defense, Intelligence Community, and federal partners.
At PSG, you'll join a small, agile, and highly skilled team where your expertise has a direct impact. You'll collaborate with some of the largest and most respected defense organizations while shaping next-generation technology.
Position Description:
Develop Advanced AI and Computer Vision Systems for National Security
Prime Solutions Group (PSG), Inc. is seeking an experienced AI and Computer Vision Engineer to develop advanced perception, embedded computing, and machine learning solutions supporting multiple mission-critical national security programs.
This position offers the opportunity to work across a diverse portfolio of advanced R&D efforts involving computer vision, object tracking, AI/ML, embedded software, sensor processing, autonomous perception, and emerging neuromorphic computing technologies.
Successful candidates will contribute to the design and implementation of AI and computer vision algorithms, develop production-quality software, evaluate emerging technologies, and support the transition of research concepts into operational systems.
We are looking for T-shaped engineers: individuals with a broad software and AI foundation who also possess deep expertise in one or more technical areas. Engineers at PSG contribute across multiple programs, applying their strengths while continuously expanding their technical breadth.
Responsibilities include:
  • Design and develop real-time computer vision and AI algorithms for mission-critical applications.
  • Develop software in C/C++ and Python for embedded and high-performance computing environments.
  • Design and implement computer vision, object detection, object tracking, and perception algorithms.
  • Develop AI-enabled software supporting EO/IR imagery, advanced sensors, and event-based sensing technologies.
  • Evaluate, prototype, and integrate machine learning techniques into operational software systems.
  • Optimize software and algorithms for efficient execution on embedded and high-performance computing platforms.
  • Develop automated testing, validation, and performance evaluation methodologies.
  • Collaborate with multidisciplinary engineering teams to transition research into operational capability.
  • Evaluate and prototype emerging technologies including neuromorphic AI, event-driven sensing, and advanced embedded computing.
  • Prepare technical documentation, customer presentations, and engineering reports.

Requirements
  • U.S. Citizenship
  • Active Top Secret Clearance with eligibility to obtain SCI with CI Poly
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Artificial Intelligence, or related technical discipline.
  • 3-5 years developing software using C/C++.
  • Experience developing software using Python.
  • Experience developing software for computer vision, image processing, or AI/ML applications.
  • Experience with object detection, image analysis, tracking, or sensor processing.
  • Experience with Linux software development.
  • Experience with Git and collaborative software development practices.
  • Strong problem-solving and software engineering skills.
  • Ability to communicate effectively with technical teams and government customers.

Preferred skills or experience:
  • Experience with one or more of the following: object tracking, sensor fusion, autonomous perception, or advanced computer vision.
  • Experience developing AI applications for embedded, heterogeneous, or edge computing platforms.
  • Experience applying AI and computer vision techniques to EO/IR imagery, remote sensing, video analytics, or advanced sensor processing.
  • Experience with event-based vision, neuromorphic sensing, Spiking Neural Networks (SNNs), or related AI frameworks.
  • Experience transitioning AI algorithms into operational software.
  • Experience supporting Department of Defense, Intelligence Community, aerospace, or other mission-critical programs.
  • Demonstrated ability and interest in learning new technologies and contributing across multiple technical disciplines and programs.

Why Join PSG?
At PSG, you'll work alongside highly experienced engineers while contributing across multiple advanced research and development programs. Rather than focusing on a single product or technology, you'll have opportunities to apply your skills to a diverse range of AI, computer vision, embedded computing, and advanced sensing challenges supporting national security.
We offer:
  • Competitive compensation and benefits
  • Professional development and tuition assistance
  • Flexible and collaborative engineering culture
  • Exposure to cutting-edge AI/ML technologies
  • Direct impact on mission-critical programs
  • Opportunities to grow into technical leadership roles

Whether your passion is embedded software, computer vision, AI/ML, neuromorphic computing, or advanced sensing, you'll have opportunities to expand your expertise while working alongside experienced technical leaders.
Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

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