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Reinforcement Learning Intern Jobs (NOW HIRING)

PhD Intern Where multiple locations are listed for this role, the position may be based in any of ... Reinforcement learning, Large language/vision-language models, Computer vision and multimodal ...

Research Intern

New York, NY · On-site

$300K - $500K/yr

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you ... into reinforcement learning environments, designing reward signals for ambiguous, long-horizon ...

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you ... into reinforcement learning environments, designing reward signals for ambiguous, long-horizon ...

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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Reinforcement Learning Intern information

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How much do reinforcement learning intern jobs pay per hour?

As of Sep 10, 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 is a reinforcement learning intern?

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 as a reinforcement learning intern?

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.

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.

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Infographic showing various Reinforcement Learning Intern job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Robotics Research Intern - Post-Training

Los Altos, CA • On-site

Toyota Research Institute
Scientific Research and Development Services • 51 - 200 employees

$45 - $65/hr

Internship

Medical, Dental, Vision, PTO

Posted 24 days ago


Job description

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

This is a paid 12-week internship opportunity and is a hybrid, in-office role.

Here's a glimpse into the Internship experience from some of our TRI interns!

Qualifications
  • Currently pursuing a Ph.D. in Computer Science, Machine Learning, Robotics, or a related field.

  • Research experience in robot learning, reinforcement learning, imitation learning, generative modeling, world models, or a related area.

  • Interest in open research problems involving large-scale machine learning grounded in physical systems.

  • Proficiency in Python and a deep-learning framework such as PyTorch.

  • Ability to collaborate effectively with researchers and engineers and communicate research findings clearly.

Bonus Qualifications
  • Experience with pretrained generalist policies, foundation models, or large-scale robot-learning systems.

  • Familiarity with offline or online reinforcement learning, DAgger, interactive learning, or human-in-the-loop methods.

  • Experience with simulation, sim-to-real transfer, policy distillation, or robotic manipulation.

  • Experience with learned world models, model-based reinforcement learning, or planning.

  • Publication record or interest in publishing at leading venues such as CoRL, NeurIPS, ICLR, ICML, RSS, ICRA, IROS, or related conferences and journals.

  • Interest in translating fundamental research into reliable methods that can be evaluated on real robotic systems and practical downstream tasks.

The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
 
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
 
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