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Reinforcement Learning Intern Jobs in Berkeley, CA

About Polymath Polymathisan applied research lab focused on advancing long-horizon agent capabilities through reinforcement learning. We design and scale simulation environments where agents learn to ...

Software Engineering Intern

San Francisco, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

About Mechanize Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work. Why the work matters AI models ...

Software Engineering Intern

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

About Mechanize Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work. Why the work matters AI models ...

Software Engineering Intern

San Francisco, CA

$100/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

About Mechanize Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work. Why the work matters AI models ...

AI or ML Engineer

San Francisco, CA · On-site

$90K - $110K/yr

  • Medical

Up to date with cutting-edge AI models, including deep learning, reinforcement learning, and ... Be it expert or intern Triunity always always value its own people and give them platform to excel ...

AI/ML Research Internship

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Practical knowledge related to building and adapting algorithms for machine learning, time series analysis, multimodal sensing, foundation model fine-tuning, reinforcement learning and related areas

AI/ML Research Internship

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Practical knowledge related to building and adapting algorithms for machine learning, time series analysis, multimodal sensing, foundation model fine-tuning, reinforcement learning and related areas

Showing results 21-31

Reinforcement Learning Intern information

See Berkeley, CA salary details

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How much do reinforcement learning intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for reinforcement learning intern in Berkeley, CA is $20.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $23.56 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?

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 cities near Berkeley, CA are hiring for Reinforcement Learning Intern jobs?

Cities near Berkeley, CA with the most Reinforcement Learning Intern job openings:

AI Research Resident

Polymath AI Labs

San Francisco, CA • On-site

Contractor

Re-posted 22 days ago


Job description

About PolymathPolymathisan applied research lab focused on advancing long-horizon agent capabilities through reinforcement learning. We design and scale simulation environments where agents learn to operate safely and autonomously. We work with the world's leading model labs to push the frontier of agent capabilities. We've raised >$8M from Base10, Founders Future, Y Combinator, and other incredible investors & angels.
About the role
We're looking for talented researchers currently enrolled in MS / PhD programs to collaborate on a research project focused around frontier benchmarks and environments for long-horizon AI agents. This will require 1) identifying failure modes in frontier models, 2) developing rigorous benchmarks that evaluate how well frontier agents perform on complex, realistic tasks requiring long-horizon reasoning and tool use in dynamic environments, and 3) training autonomous agents that can reason, plan, and act over extended time horizons.
We can accommodate full-time or part-time engagements. If you're interested in joining Polymath but are not currently a student, please apply to the Member of Technical Staff role.
You'll be a good fit if you:
  • Are currently pursuing an MS or PhD program in Computer Science or a related field
  • Have experience with reinforcement learning, benchmarking frontier models, or model post-training
  • Have experience with systems engineering and can write production-quality code
  • Have a strong track record of publications
  • Have high agency, move quickly, and enjoy working on open-ended research problems

Culture
  • Polymath is a team of researchers, engineers, and operators focused on advancing the frontier of safe, superintelligent AI agents.
  • We have a flat organizational structure. We believe that people do their best work when they're self-motivated and driven by a desire to learn, contribute to the team's goals, and advance scientific progress.
  • We're looking for folks who ship fast, set high standards for themselves, and are great team players.