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Reinforcement Learning Intern Jobs (NOW HIRING)

Microsoft

Research Intern - Self-Improving AI

Cambridge, MA · On-site

$6.7K - $13K/mo

The Machine Learning/Artificial Intelligence (ML/AI) group at Microsoft Research NYC is looking for a Research Intern candidate with a background in language modeling and reinforcement learning, for ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for ...

Workato

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for ...

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How much do reinforcement learning intern jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for 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 kinds of projects or tasks can I expect to work on as a Reinforcement Learning Intern?

As a Reinforcement Learning Intern, you will typically work on tasks such as designing, implementing, and testing reinforcement learning algorithms, analyzing experimental results, and assisting with data preprocessing or environment development. You may also collaborate with senior researchers and engineers, participate in code reviews, and contribute to technical discussions or team meetings. In many organizations, interns are given the chance to work on real-world problems—ranging from optimizing robotic control systems to enhancing recommendation engines. This hands-on experience not only builds your technical expertise but also helps you develop valuable teamwork and communication skills, preparing you for a future career in AI or machine learning.

What is a Reinforcement Learning Intern job?

A Reinforcement Learning (RL) Intern is responsible for researching, developing, and testing RL algorithms to solve complex problems. They typically work on tasks such as implementing reinforcement learning models, optimizing reward functions, and running experiments in simulated environments. Interns collaborate with researchers and engineers to refine models and improve the efficiency of RL systems. They usually have experience in machine learning, deep learning, and programming languages like Python. The role provides hands-on experience in applying RL techniques to real-world applications.

What are the key skills and qualifications needed to thrive in the Reinforcement Learning Intern position, and why are they important?

To thrive as a Reinforcement Learning Intern, you need strong knowledge of machine learning fundamentals, programming proficiency (usually in Python), and a background in mathematics or computer science, often demonstrated through academic coursework or relevant projects. Familiarity with popular machine learning libraries such as TensorFlow, PyTorch, and RL-specific frameworks like OpenAI Gym is typically expected. Effective problem-solving skills, attention to detail, and the ability to communicate technical findings clearly are valuable soft skills in this position. These capabilities enable interns to contribute meaningfully to research and development efforts, bridging theory and practical application in real-world reinforcement learning projects.

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Reinforcement Learning Intern jobs near you
Intern, Computational and Applied Mathematics

Intern, Computational and Applied Mathematics

SRI International

Menlo Park, CA

$40 - $45/hr

Full-time, Internship

Posted 14 days ago

Job description

The Applied Sciences Laboratory at SRI International is seeking a Summer Intern to conduct research and development in the areas of mathematics of generative AI models (specifically large language models), scalable graph analysis methods, and network sciences. Experience with implementing scalable software associated with these areas is highly desired.  The position will be in support of a new computational and mathematical sciences team at SRI International.

Our team focuses on the development of new algorithms for a wide variety of exciting applications including supply chain networks, social graphs, optimization of generative AI models, material failures, and biological systems. The aim of the team is to conduct and publish research at top venues and assist SRI commercialize relevant technologies by filing patents and spinning out start-ups.

The Summer Intern will work onsite in our Menlo Park, CA office.  


  • Training generative AI models
  • Experience with Reinforcement Learning approaches and theory
  • Designing and implementing distributed algorithms for large graphs
  • Assist in developing research ideas
  • Instantiate the approaches in prototype software
  • Lead the experimental evaluation of these ideas, compile results, and communicate the results in presentations.

  • Currently enrolled in a PhD program in Applied Mathematics, Computer Science, or Engineering with a focus on computational sciences or a related area.
  • Some publications, experience in algorithm development associated with artificial intelligence and graph theory.

The salary range is: $40-$45+/hr. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst internal employees in similar roles. Positions may also qualify for SRI's Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package, to view details please go to https://www.sri.com/resources/benefits/.

SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich history of supporting government and industry. We create and deliver world-changing solutions for a safer, healthier, and more sustainable future. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.

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