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Summer Reinforcement Learning Intern Jobs in Virginia

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Summer Reinforcement Learning Intern information

What is a summer reinforcement learning intern?

Summer Reinforcement Learning Interns are students or recent graduates who work temporarily, usually during the summer, to gain hands-on experience in reinforcement learning, a subfield of machine learning. Their responsibilities often include assisting with the development and testing of algorithms, analyzing data, and collaborating with research teams on projects related to artificial intelligence. This role provides an opportunity to apply theoretical knowledge from coursework to real-world problems, often resulting in valuable skills and networking opportunities for future careers in AI or data science.

What types of projects or tasks can I expect as a summer reinforcement learning intern?

As a Summer Reinforcement Learning Intern, you can expect to work on projects ranging from implementing and testing RL algorithms to analyzing experiment results and optimizing model performance. Interns often collaborate with experienced researchers and engineers, contributing to both independent and team projects. You may also be involved in literature reviews, setting up simulation environments, and presenting findings to your team. The role provides hands-on experience with real-world RL applications, and you’ll have the opportunity to learn from feedback and mentorship throughout your internship.

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

To thrive as a Summer Reinforcement Learning Intern, you need a solid background in computer science, mathematics (particularly probability and linear algebra), and experience with machine learning frameworks. Familiarity with Python, TensorFlow or PyTorch, and a strong grasp of reinforcement learning algorithms are typically required, often supported by coursework or relevant certifications. Strong problem-solving skills, curiosity, and effective communication help you stand out in collaborative research and fast-paced project environments. These skills are crucial for contributing to innovative AI projects, rapidly learning new concepts, and effectively sharing findings with mentors and team members.

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

AspectSummer Reinforcement Learning InternSummer Data Science Intern
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of machine learning and programmingUndergraduate or graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentResearch-focused, experimental projects, often in AI and machine learning teamsData analysis, modeling, visualization, and reporting tasks across various departments
Employer & Industry UsageTech companies, AI startups, research labsTech firms, finance, healthcare, and consulting industries

The Summer Reinforcement Learning Intern role focuses on developing and testing reinforcement learning algorithms, often within AI research teams. In contrast, the Summer Data Science Intern role involves broader data analysis and modeling tasks. Both roles require programming skills and are common in tech industries, but they differ in their specific focus and project types.

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Cities in Virginia with the most Summer Reinforcement Learning Intern job openings:

Summer Reinforcement Learning Intern jobs near you

Summer 2027 Intern - Machine Learning Engineering

Workiva

Virginia Beach, VA • On-site

$40/hr

Other

Retirement

Posted 3 days ago

New

Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies

Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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