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Reinforcement Learning Internship Jobs (NOW HIRING)

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

Desired Qualifications * 2-8+ years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with ...

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Reinforcement Learning Internship information

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$8

$17

$24

How much do reinforcement learning internship jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for reinforcement learning internship in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a reinforcement learning internship?

A Reinforcement Learning Internship is a temporary position, often for students or recent graduates, where you work on projects involving reinforcement learning—a type of machine learning where agents learn by interacting with their environment to achieve goals. Interns typically assist with research, data analysis, algorithm development, and experimentation under the supervision of experienced professionals. This role provides hands-on experience with RL frameworks, coding in languages like Python, and exposure to real-world applications such as robotics, gaming, or autonomous systems. The internship helps build practical skills and can pave the way for advanced study or a career in artificial intelligence research.

What are some common challenges faced during a reinforcement learning internship and how can I prepare for them?

As a Reinforcement Learning Intern, you may encounter challenges such as tuning hyperparameters, managing computational resources, and understanding the intricacies of reward design. Interns often work with large datasets and complex environments, which can be resource-intensive and require efficient coding skills. To prepare, it's helpful to familiarize yourself with popular RL frameworks (like TensorFlow or PyTorch), brush up on mathematical concepts such as Markov Decision Processes, and practice implementing algorithms from academic papers. Collaboration with senior researchers and regular code reviews are also key aspects of the internship experience.

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

To thrive as a Reinforcement Learning Intern, you need a strong background in mathematics (especially probability, statistics, and linear algebra), programming proficiency (commonly in Python), and foundational knowledge of machine learning concepts. Experience with libraries and frameworks such as TensorFlow, PyTorch, OpenAI Gym, and familiarity with relevant research papers or coursework are highly beneficial. Analytical thinking, creativity, and effective communication skills help interns solve complex problems and collaborate with research teams. These skills are crucial for contributing to innovative RL projects and efficiently learning from real-world experimentation.

What is the difference between Reinforcement Learning Internship vs Machine Learning Internship?

AspectReinforcement Learning InternshipMachine Learning Internship
Required SkillsReinforcement learning algorithms, Python, data analysisSupervised/unsupervised learning, Python, data preprocessing
Work EnvironmentResearch labs, AI startups, tech companiesTech firms, research institutions, data-driven companies
Industry UsageSpecialized in decision-making models and sequential learningBroader applications including classification, regression, clustering

Reinforcement Learning Internship focuses on decision-making algorithms and sequential learning, often in research or AI startup environments. Machine Learning Internship covers a wider range of algorithms and applications, suitable for various industries. Both roles require programming skills and a background in data science, but reinforcement learning internships are more specialized in AI decision systems.

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What are the most commonly searched types of Reinforcement Learning jobs?

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What states have the most Reinforcement Learning Internship jobs?

States with the most job openings for Reinforcement Learning Internship jobs include:

Infographic showing various Reinforcement Learning Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Software Engineering Intern

Brunswick Corporation

Champaign, IL • On-site

$18 - $27/hr

Full-time

Medical, Retirement, PTO

Posted 7 days ago


Job description

Are you ready for what's next?
Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes "Next Never Rests™," and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation.
Location: Champaign, IL
Workplace Category: Onsite
Travel Required: 5%
Direct Reports: No
Pay Range: $18.00-$27.00
Visa Sponsorship: Applicants must be currently authorized to work in the United States. This position is not eligible for employment visa sponsorship now or in the future.
Relocation: No
Position Overview:
The Boating Intelligence (BI) Design Lab is seeking a Reinforcement Learning Intern to help establish and advance our capabilities in Reinforcement Learning (RL) for marine vessels and autonomous marine systems.
This role is ideal for a student with a strong foundation in Python and an interest in robotics, autonomous systems, Reinforcement Learning, Simulation and AI. The intern will collaborate with engineers to build the foundations necessary for successful RL projects, including simulation environments, training pipelines, evaluation frameworks, and experimentation workflows. The successful candidate will gain hands-on experience applying modern machine learning and robotics techniques to real-world marine autonomy challenges.
The Lab is hoping to find someone who can start in the Spring semester of 2027 and work with the lab continuously through the Summer and Fall semesters.
At Brunswick, we have passion for our work and a distinct ability to deliver.
Essential Functions:
  • Assist in the development of reinforcement learning solutions for autonomous marine vessels and intelligent boating applications.
  • Research and evaluate reinforcement learning algorithms, robotics frameworks, and simulation tools.
  • Design, implement, and evaluate training workflows, reward functions, and performance metrics.
  • Perform literature reviews and benchmarking of relevant RL and robotics technologies.
  • Contribute to the creation of reusable development frameworks and best practices for future RL projects.

Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way.
Required Qualifications:
  • To be considered for the internship, candidates must have permanent US Work authorization.
  • Current enrollment in a BS or Master's degree in Computer Science, Robotics, Computer Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, or a related field at the University of Illinois Urbana Champaign.
  • Demonstrated interest in robotics, autonomous systems, artificial intelligence, or machine learning.

  • Working experience with Python and/or C++
  • Familiarity or experience with Robot Operating System (Ros), Reinforcement Learning and simulation environments.
  • Coursework or project experience related to robotics, machine learning, path planning, motion planning, navigation, controls, or autonomous systems.
  • Portfolio/Resume highlighting a variety of projects.

Preferred Qualifications:
  • Work experience with Unity, Unreal Engine, Isaac Sim, Gazebo, VRX , or similar simulation platforms.
  • Work experience with machine learning, reinforcement learning concepts, including policy optimization, value-based methods, or model-based approaches.
  • Knowledge of marine robotics, and autonomous vehicles is a plus.

Working Conditions:
  • Learning Opportunities: Our Student Program is designed to provide hands-on experience in a professional setting. You will work alongside experienced professionals and get a chance to apply your academic knowledge to real-world tasks.
  • Project Work: The work environment is supportive, collaborative, and conducive to learning. Student co-ops or interns typically work on specific projects or tasks that contribute to the organization's goals. This may range from supporting larger projects to handling smaller, individual assignments.
  • Hours: Co-ops and Interns are expected to work a full 40-hour work week
  • Feedback and Performance Reviews: As a co-op or intern, you will receive feedback and performance reviews throughout your assignment. We value the importance for interns to understand their progress and areas for improvement.

The pay range for this position is $18.00 - $27.00 per hour. The actual hourly rate offered will vary depending on multiple factors including year in school/credits earned, degree, job-related knowledge/skills, relevant experience, business needs, and geographic location.
At Brunswick, it is not typical for an individual to be hired at or near the top end of the salary range for their role. Compensation decisions are dependent upon the specifics of the candidate's qualifications and the business context.
About the Company:
Why Brunswick:
Whatever tomorrow brings, we'll be at the leading edge. As the clear leader in the marine industry, we're committed to our values and supporting our exceptional people. We offer valuable benefits including a competitive 401(k) plan with company match, health benefits, paid time off, a robust Wellness Program, and much more. In addition, we're proud of being recognized for making a splash with numerous awards!
Next is Now!
We value growth and development, recognizing that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying.
Brunswick is an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by federal, state, or local law. Diversity of experience and skills combined with passion is key to innovation and inspiration and we encourage individuals from all backgrounds to apply. If you require accommodation during the application or interview process, please contact hrsharedservices@brunswick.com for support.
Brunswick and Workday Privacy Policies
Brunswick does not accept applications, inquiries or solicitations from unapproved staffing agencies or vendors. For help, please contact our support team at: hrsharedservices@brunswick.com or 866-278-6942.
All job offers will come to you via the candidate portal you create when applying through a posted position through https:///www.brunswick.com/careers. If you are ever unsure about what is being required of you during the application process or its source, please contact HR Shared Services at 866-278-6942 or HRSharedServices@brunswick.com.
#Brunswick Corporation
For more information about EEO laws, - click here
Brunswick Corporation participates in E-Verify as part of our commitment to a lawful and transparent hiring process. For additional information click here: https://www.brunswick.com/e-verify.