1

Internship Deep Reinforcement Learning Jobs in Reston, VA

... reinforcement learning * Advanced knowledge of advanced techniques such as: dimension reduction ... Demonstrates a deep understanding of the modeling lifecycle * Advanced skill data mining, data ...

The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI ... Experience with Advance Reinforcement Learning Paradigms. * Experience with Speech Recognition.

The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI ... Experience with Advance Reinforcement Learning Paradigms. * Experience with Speech Recognition.

The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI ... Experience with Advance Reinforcement Learning Paradigms. * Experience with Speech Recognition.

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

Showing results 21-40

Internship Deep Reinforcement Learning information

See Reston, VA salary details

$9

$17

$25

How much do internship deep reinforcement learning jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for internship deep reinforcement learning in Reston, VA is $17.72, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.00 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a deep reinforcement learning internship?

As a Deep Reinforcement Learning (DRL) intern, you'll typically work on projects involving the development, implementation, and evaluation of reinforcement learning algorithms. This might include tasks like training agents in simulated environments, tuning hyperparameters, analyzing performance metrics, and collaborating with team members to integrate DRL solutions into larger systems. You'll also likely spend time reading recent research papers, experimenting with frameworks such as TensorFlow or PyTorch, and presenting your findings to the research team. Collaboration with mentors and other interns is common, and you'll gain hands-on experience that prepares you for more advanced roles in AI research or engineering.

What is an internship in deep reinforcement learning?

An internship in Deep Reinforcement Learning (DRL) is a temporary, hands-on position where interns learn and apply state-of-the-art machine learning algorithms that enable computers to learn decision-making tasks through trial and error. Interns typically work on projects involving neural networks, reward systems, and environments like games or simulations. These internships provide valuable experience with frameworks such as TensorFlow or PyTorch, and exposure to current research in artificial intelligence. The experience helps students or recent graduates build technical skills and prepare for careers in AI research or industry.

What are the key skills and qualifications needed to thrive as an intern in deep reinforcement learning?

To thrive as an Intern in Deep Reinforcement Learning, you need a solid background in mathematics (especially linear algebra, probability, and calculus), programming (Python), and foundational knowledge in machine learning principles, usually supported by ongoing or completed coursework in computer science or related fields. Familiarity with frameworks and tools such as TensorFlow, PyTorch, OpenAI Gym, and experience using version control systems like Git are typically required. Analytical thinking, curiosity, and effective communication are essential soft skills for collaborating on research problems and sharing complex findings. These skills and qualities are crucial for contributing to innovative projects and successfully navigating the challenges of cutting-edge AI research.

What is the difference between Internship Deep Reinforcement Learning vs Data Science Intern?

AspectInternship Deep Reinforcement LearningData Science Intern
Required SkillsMachine learning, programming (Python), reinforcement learning conceptsStatistics, data analysis, programming (Python/R), data visualization
Work EnvironmentResearch labs, AI companies, tech startupsBusiness analytics, tech firms, consulting agencies
Industry UsageAI research, robotics, autonomous systemsBusiness intelligence, marketing, finance

Internship Deep Reinforcement Learning focuses on developing algorithms that enable systems to learn through trial and error, often in AI research or robotics. Data Science Internships involve analyzing data to extract insights and support decision-making. While both roles require programming skills, reinforcement learning emphasizes AI-specific techniques, whereas data science centers on statistical analysis and data visualization.

What job categories do people searching Internship Deep Reinforcement Learning jobs in Reston, VA look for? The top searched job categories for Internship Deep Reinforcement Learning jobs in Reston, VA are:
What cities near Reston, VA are hiring for Internship Deep Reinforcement Learning jobs? Cities near Reston, VA with the most Internship Deep Reinforcement Learning job openings:
Infographic showing various Internship Deep Reinforcement Learning job openings in Reston, VA 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, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,866 per year, or $17.7 per hour.

AI Security Engineer with Security Clearance

MITRE Corporation

Fairfax, VA • On-site

Other

Re-posted 29 days ago


MITRE Corporation rating

8.2

Company rating: 8.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

155th of 446 rated engineering


Job description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. MITRE's Trustworthy & Secure AI (TSAI) Department consists of a diverse team united by a passion and a sense of urgency to harness trustworthy and assured artificial intelligence (AI) to help solve problems in the public interest. The TSAI Department supports our sponsors' missions by delivering capabilities for securing and increasing trust in AI-enabled systems, including data driven AI risk awareness and mitigation, AI red teaming, and trusted tools and techniques for applying AI in high consequence environments. The TSAI Department works across government, industry, and academia to provide, assess, and shape trustworthy and secure AI systems to address complex mission needs for our sponsors. Our work provides opportunities to address real-world challenges in the rapidly developing field of AI assurance, and to research and prototype new methods to address mission needs. We are looking for highly motivated, adaptive, and self-directed candidates to perform research, development, engineering, evaluation, and integration of secure AI systems. Roles & Responsibilities: The position involves assessing threats to AI systems, research and development of defenses and mitigations against adversarial AI tactics and techniques, and integrating AI solutions into government systems. Specific responsibilities will include: * Perform AI adversarial threat analysis to identify and characterize vulnerabilities in real-world national security systems
* Work across military and intelligence community sponsors to understand shared needs and technologies
* Utilize and enhance MITRE ATLAS framework for assessing threats to AI-enabled systems
* Contribute to the innovation of new AI capabilities applied to cyber operational challenges
* Convey complex ideas to non-technical audiences through briefings and/or white papers Basic Qualifications: * Typically requires a Bachelor's degree and a minimum of 2 years of artificial intelligence experience; or an advanced degree with relevant experience who can immediately contribute at this job step; or equivalent combination of AI-related education and work experience
* Advanced understanding of foundational AI/ML theory, with demonstrated ability to reason about AI system behavior, vulnerabilities, and evaluation
* Hands-on experience with one or more of the following technical areas: agentic AI, deep reinforcement learning, computer vision, generative AI
* Demonstrated advanced skills with Python and the standard AI technical stack
* Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems
* Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences
* Ability and willingness to obtain and maintain a DOD TS/SCI security clearance with CI poly within 12 months from the date of hire
* Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance
* This position requires a minimum of 50% hybrid on-site Preferred Qualifications: * Advanced degree in computer science, engineering, or related disciplines
* Track record of successful deployment of AI/ML systems or components that have been used by customers or stakeholders outside of a lab/experimental setting
* Hands-on experience with one or more of the following AI security topics: AI red teaming, AI T&E, adversarial AI, AI-enhanced cybersecurity, AI strategy and governance
* Experience generating or analyzing intelligence reporting data
* Familiarity with MITRE ATLAS threat matrix
* Active IC or DOD TS/SCI security clearance with CI Poly This requisition requires the candidate to have a minimum of the following clearance(s):
None This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret/SCI/Polygraph Salary compensation range and midpoint:
$121,600 - $152,000 - $182,400 Annual Work Location Type:
Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here . Copyright © 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

What MITRE Corporation employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


MITRE logo

About MITRE

Sourced by ZipRecruiter

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world's best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1958

Social media