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Internship Machine Learning Hardware Jobs (NOW HIRING)

AV

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... Help manage project resources such as datasets, hardware, and time to support project timelines.

AV

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... Help manage project resources such as datasets, hardware, and time to support project timelines.

Brahma Consulting Group

Head of Hardware

Palo Alto, CA

$145K - $191K/yr

We are seeking an experienced Head of Hardware to lead our hardware engineering efforts at an innovative AI startup revolutionizing chip design through machine learning. This pivotal leadership role ...

Quantum Machines

Machine Learning Engineer

Through our pioneering hardware and software solutions based on instruction-based quantum control ... We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ...

Susquehanna

Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...

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$25.5K

$42.6K

$88K

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

As of Sep 13, 2026, the average yearly pay for internship machine learning hardware in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is an internship in machine learning hardware?

An Internship in Machine Learning Hardware is a temporary position for students or recent graduates to gain hands-on experience working with the physical components and systems that enable machine learning applications. Interns typically assist in designing, testing, and optimizing hardware such as GPUs, TPUs, or custom accelerators that run machine learning algorithms efficiently. This role often involves collaboration with software engineers and researchers to improve the performance and energy efficiency of machine learning models. The internship provides valuable exposure to both hardware engineering and the rapidly evolving field of artificial intelligence.

What kinds of projects and responsibilities can I expect during an internship in machine learning hardware?

As an intern in Machine Learning Hardware, you can expect to work on tasks such as benchmarking hardware performance for AI workloads, supporting the development and testing of new accelerator architectures, and optimizing hardware-software integration for machine learning models. You'll often collaborate with both hardware engineers and machine learning researchers, gaining exposure to the entire workflow from design to deployment. These internships typically provide hands-on experience with tools like FPGA, ASIC simulation environments, or specialized ML hardware platforms, and offer opportunities to contribute to real-world product development and research.

What are the key skills and qualifications needed to thrive as an internship in machine learning hardware, and why are they important?

To thrive as an Internship Machine Learning Hardware, you need a solid foundation in computer engineering, electrical engineering, or computer science, with coursework or experience in machine learning and hardware design. Familiarity with hardware description languages (like Verilog or VHDL), Python, C++, and tools such as TensorFlow, PyTorch, or FPGA development environments is typically required. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns excel in multidisciplinary environments. These competencies are crucial for contributing to hardware-accelerated machine learning solutions and collaborating efficiently with engineering teams.

What is the difference between Internship Machine Learning Hardware vs Internship Data Scientist?

AspectInternship Machine Learning HardwareInternship Data Scientist
Required CredentialsBasic knowledge of hardware, electronics, and programmingStatistics, programming, and data analysis skills
Work EnvironmentHardware labs, electronics workshops, manufacturing settingsOffice, data analysis environments, cloud platforms
Employer & Industry UsageTech companies, hardware manufacturers, research labsTech firms, finance, healthcare, consulting
Common Search & Comparison IntentUnderstanding hardware-focused roles in ML projectsData analysis and modeling roles in ML

Internship Machine Learning Hardware focuses on developing and optimizing hardware components for ML systems, while Internship Data Scientist emphasizes analyzing data and building models. Both roles are essential in AI development but differ in skills, environment, and industry application.

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Internship Machine Learning Hardware jobs near you
Infographic showing various Internship Machine Learning Hardware job openings in the United States as of September 2026, with employment types broken down into 50% Internship, 25% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Summer 2027 Machine Learning Intern

Centreville, VA • On-site

AeroVironment
Manufacturing • 1 - 5K employees
Learn more about AeroVironmentexternal

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Key responsibilities

  • Support the development of computer vision and machine learning algorithms for detecting, classifying, localizing, and tracking objects-of-interest using UAV-mounted gimballed cameras.

  • Assist in writing and testing software to integrate ML algorithms into aircraft systems (e.g., autopilots, payloads, robotic platforms).

  • Explore and visualize data to understand distribution patterns and potential anomalies.

AeroVironment rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Worker Type

Supplemental


Job Description

Summer Internship Program
Our paid Summer Internship Program is designed to provide students with an immersive, hands-on experience within the aerospace and defense industry. Interns work alongside AV team members on meaningful projects involving cutting-edge technology while developing professional relationships, strategic problem-solving skills, and practical experience in a full-time work environment.

This is a 12-week, onsite program intended for highly motivated and passionate students who are currently enrolled in college or are recent graduates. Applicants must have a minimum 3.0 GPA, with a preference for students at the junior level or above.

Our program has been recognized by Yello and WayUp as one of the Top 100 Internship Programs in the United States for multiple years.

Depending on the team and location, students who are willing to relocate for their internship may be eligible for a relocation and housing reimbursement stipend.

AV offers internship opportunities across various teams and locations throughout the United States. Specific team, location, and program details will be discussed during the interview process.

As a Machine Learning Intern, you will have the opportunity to support the R&D Group at AV in developing innovative computer vision solutions for defense and commercial applications. You will contribute to small, focused design teams working on detection, classification, localization, and tracking technologies. This internship will expose you to various stages of the development process including concept design, prototyping, testing, and evaluation.

Position Responsibilities

  • Support the development of computer vision and machine learning algorithms for detecting, classifying, localizing, and tracking objects-of-interest using UAV-mounted gimballed cameras.

  • Assist in writing and testing software to integrate ML algorithms into aircraft systems (e.g., autopilots, payloads, robotic platforms).

  • Explore and visualize data to understand distribution patterns and potential anomalies.

  • Assist in implementing machine learning systems and validating designs through experiments.

  • Help define objectives, develop models, and track their performance using metrics.

  • Perform data analysis tasks using AV tools and industry-standard platforms.

  • Help manage project resources such as datasets, hardware, and time to support project timelines.

  • Contribute to the evaluation of ML algorithm performance and model deployment strategies.

  • Participate in data preparation activities, including cleaning and transformation.

  • Assist in error analysis and developing corrective strategies.

  • Research and experiment with appropriate ML algorithms and tools.

  • Support running tests and experiments on selected datasets and data representations.

  • Follow standard procedures to analyze data and support development tasks.

  • Perform other duties as assigned.

Basic Qualifications (Required Skills & Experience)

  • Currently pursuing a BS in Computer Vision, Machine Learning, Computer Science, Electrical Engineering, or a related field.

  • Familiarity with C/C++ and MATLAB.

  • Proficiency with office productivity tools.

  • Basic troubleshooting skills for technical systems.

Other Skills & Qualifications

  • Exposure to deep learning frameworks (e.g., TensorFlow, Keras).

  • Familiarity with Python and libraries such as scikit-learn and pandas.

  • Experience with data visualization and handling large datasets.

  • Exposure to OpenCV and working in a Linux environment.

  • Understanding of key concepts in:

    • Machine learning

    • Computer vision

    • Mathematical optimization

    • Data mining

    • Predictive analytics

  • Ability to assist in selecting hardware/software for model deployment.

Preferred Qualifications

  • Effective communication and teamwork skills.

  • Strong initiative and eagerness to learn in a fast-paced R&D environment.

  • Willingness to take ownership of tasks and learn from feedback.

  • Ability to adapt to changing priorities and work independently under supervision.

Physical Demands

  • Ability to work in an office and lab environment.

  • May be required to sit or stand for long periods, use hands/fingers for computer and communication tasks.

ITAR Requirement:

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify U.S. person status under the ITAR and the EAR. A "U.S. person" according to their definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee, or asylee. See 22 CFR 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits.

We also encourage you to review our company website at http://www.avinc.com to learn more about us.

Principals only need apply. NO agencies please.

Who We Are

Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC.

Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed.

What We Do

Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition.

We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data,sexual orientation, gender identity or other legally protected status.

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