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Summer Reinforcement Learning Intern Jobs (NOW HIRING)

Faraday Future

Robotics Intern (Part Time)

El Segundo, CA · On-site

$32 - $41/hr

We are looking for a highly motivated Robotics Intern (Part Time) to support robotics control and ... Implement and run reinforcement learning, imitation learning, or control experiments under guidance ...

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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.
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Summer Reinforcement Learning Intern jobs near you
Intern - Reinforcement Learning Engineer

Intern - Reinforcement Learning Engineer

Ghost Robotics

Philadelphia, PA

$30 - $45/hr

Other

Posted 5 days ago

Job description

Reinforcement Learning Intern

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:

  • 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 Commitment:

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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