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Machine Learning Summer Internship Jobs in Washington

AV

Summer 2027 Machine Learning Intern

Centreville, VA · On-site

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

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Machine Learning Summer Internship information

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$28.9K

$48.2K

$99.7K

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

As of Sep 15, 2026, the average yearly pay for machine learning summer internship in Washington is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What is a machine learning summer internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning summer internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

What are the key skills and qualifications needed to thrive as a machine learning summer intern, and why are they important?

To thrive as a Machine Learning Summer Intern, you need a solid background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

What is the difference between Machine Learning Summer Internship vs Data Science Summer Internship?

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

What are the most commonly searched types of Machine Learning Summer jobs in Washington?

The most popular types of Machine Learning Summer jobs in Washington are:

What are popular job titles related to Machine Learning Summer Internship jobs in Washington?

For Machine Learning Summer Internship jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Machine Learning Summer Internship jobs in Washington look for?

The top searched job categories for Machine Learning Summer Internship jobs in Washington are:

What cities in Washington are hiring for Machine Learning Summer Internship jobs?

Cities in Washington with the most Machine Learning Summer Internship job openings:

Infographic showing various Machine Learning Summer Internship job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,230 per year, or $23.2 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 13 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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