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Summer Reinforcement Learning Intern Jobs (NOW HIRING)

BayCare Health System

College Intern

Clearwater, FL · On-site

$13.75 - $18.50/hr

Summer 2026 College Intern- Organizational Development & Learning (OD&L): Our OD&L team partners across BayCare to build a culture of continuous learning, leadership development, and organizational ...

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Summer Reinforcement Learning Intern information

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How much do summer reinforcement learning intern jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for summer reinforcement learning intern 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 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 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.

What are Summer Reinforcement Learning Interns?

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.

Is ML a high paying job?

Machine learning roles, including positions like Summer Reinforcement Learning Interns, tend to offer competitive salaries due to the specialized skills required, such as programming in Python and understanding algorithms. Entry-level internships may have lower pay, but full-time roles in machine learning often provide high compensation compared to many other tech jobs, especially with experience and advanced skills.

Is 20 an hour good for an internship?

For a Summer Reinforcement Learning Intern, $20 an hour is generally considered above average for internships in the tech industry, especially for roles requiring specialized skills like machine learning and programming. Compensation can vary based on location, company size, and the intern's experience, but this rate typically reflects a competitive internship wage. Interns should also consider other benefits such as mentorship, project experience, and potential for future employment when evaluating the overall value.

Is there a shortage of ML engineers?

There is a high demand for machine learning engineers, including roles like Summer Reinforcement Learning Interns, due to rapid growth in AI and data-driven technologies. Companies often seek candidates with strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow, leading to competitive job markets for these roles.

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 are the big 4 internships?

The 'Big 4' internships typically refer to summer internship programs at the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships offer experience in auditing, consulting, tax, and advisory services and are highly competitive for students pursuing careers in accounting and consulting.
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Summer Reinforcement Learning Intern jobs near you
Intern - Reinforcement Learning Engineer

Intern - Reinforcement Learning Engineer

Ghost Robotics

Philadelphia, PA • On-site

$30 - $45/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Description

Ghost Robotics is the industry leader in legged robotic systems that not only help our customers solve complex operational, national security, and technical challenges to save lives, reduce harm and improve outcomes.  


We are looking for a part-time Reinforcement Learning Intern to work with the Chief Science Officer to develop reinforcement learning algorithms for quadrupedal robot self-righting. 


Key Duties:

  • Develop infrastructure - scripts for training and evaluating algorithm progress
  • Use mjlab for training in simulation, with domain randomization for zero-shot sim2sim and sim2real transfer
  • Hands-on testing on the physical robot
  • Reward tuning for desirable performance

Requirements

Recommended Qualifications:

  • Holds Bachelor's degree in Computer Engineering, Software Engineering, or a related field
  • Currently pursuing Masters degree in Computer Engineering, Software Engineering, or a related field
  • Expertise in reinforcement learning algorithms like PPO, TRPO
  • Experience with weights & biases dashboard setup
  • Python programming experience
  • Mjlab or Isaac sim experience
  • Optional but highly desirable: taken ESE 6510 Physical Intelligence course at Penn (or equivalent)

Location  

Philadelphia, PA (no remote candidates considered at this time).  


Schedule and Committment

Flexible, part-time schedule, 20 - 30 hours per week.  Able to commit to three (3) month minimum project, with option to extend following evaluation.


Travel  

No Travel Required.  


Compensation 

Competitive base $30 - $45 per hour.


Background Check  

Clear standard background checks, pre-hire, post hire and anytime during employment as required.  


Residency Requirements 

Employment Authorization Required. 


Intellectual Property

Note: An IP agreement needs to be signed for this project, and any public release of project outputs requires prior company approval.


Physical Requirements 

  • Prolonged periods of standing, sitting at a desk and working on a computer.  
  • Must be able to lift 20 pounds. Assistive equipment available.
     

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