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Summer Reinforcement Learning Intern Jobs (NOW HIRING)

CSL is currently searching for an intern to join their team ... The goal of the summer internship will be to develop a reinforcement learning framework for ...

Intern

Menlo Park, CA · On-site

$40/hr

CSL is currently searching for an intern to join their team ... The goal of the summer internship will be to develop a reinforcement learning framework for ...

Intern

Menlo Park, CA · On-site

$40/hr

CSL is currently searching for an intern to join their team ... The goal of the summer internship will be to develop a reinforcement learning framework for ...

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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 9, 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.

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.
More about Summer Reinforcement Learning Intern jobs
What cities are hiring for Summer Reinforcement Learning Intern jobs? Cities with the most Summer Reinforcement Learning Intern job openings:
What states have the most Summer Reinforcement Learning Intern jobs? States with the most job openings for Summer Reinforcement Learning Intern jobs include:

Summer Internships - Expression of interest

Liberate

Boston, MA

$16.25 - $22/hr

Other

Posted 21 days ago


Job description

About Us:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice - the hardest and most valuable channel in insurance - and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

About The Role:

This Summer Liberate will be hiring for the following interns:

  • AI Engineer Intern
  • Machine Learning Intern
  • AI product Management Intern
  • Software Engineering Intern

Apply here and we will be in touch when we open up the process!

#LI-DNI