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Reinforcement Learning Intern Jobs (NOW HIRING)

Simular

PhD Research Intern

Palo Alto, CA · On-site

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 ...

Centific

Research Intern

Redmond, WA · On-site

About Job Research Intern - Healthcare AI Location: United States (Redmond, WA, or Palo Alto, CA ... Reinforcement Learning (RL): Specialization or research experience in RL, specifically RLHF ...

New

Trunk Tools

Research Intern

Redmond, WA · On-site +1

About Job Research Intern - Healthcare AI Location: United States (Redmond, WA, or Palo Alto, CA ... Reinforcement Learning (RL): Specialization or research experience in RL, specifically RLHF ...

New

Quadrillion Labs, Inc

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 ...

Quadrillion Labs, Inc

Research Intern

Manhattan, NY · On-site

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 ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

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 ...

Intel

Software Development Graduate Intern

Folsom, CA

$94K - $127K/yr

Reinforcement Learning and/or Generative AI technologies including Large Language Models (LLMs) and ... Student / Intern Shift:Shift 1 (United States of America) Primary Location: US, California, Folsom ...

New

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 ...

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How much do reinforcement learning intern jobs pay per hour?

As of Aug 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 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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Reinforcement Learning Intern jobs near you
Infographic showing various Reinforcement Learning Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

PhD Research Intern

Simular

Palo Alto, CA • On-site

Other

Re-posted 20 days ago

Job description

PhD Intern

Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.

What you'll do

As a PhD intern, you will:

  • Collaborate with research scientists to advance methods in:
    • Planning and RL for computer use (e.g. behavioral cloning, RL on model weights, RAG-based domain knowledge)
    • Multimodal grounding (e.g. vision-only models, tree search, hybrid methods with large models)
    • Reward/judge modeling (e.g. error analysis, human evaluation, training judge models)
    • User intent understanding (e.g. modeling vague queries, preference learning)
  • Contribute to building datasets, running experiments, and benchmarking results
  • Explore novel approaches and help derisk Simular's long-term technical roadmap
  • Document and communicate findings through internal reports or academic-style writing

You might be a fit if

  • Currently pursuing a PhD in Computer Science, Machine Learning, or related field
  • Research background in at least one of: Reinforcement learning, Large language/vision-language models, Computer vision and multimodal perception, Representation learning
  • Experience conducting experiments and publishing or preparing papers in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, ACL, etc.)
  • Strong coding and prototyping skills in Python and ML frameworks (PyTorch/JAX)
  • Curiosity, initiative, and interest in bridging fundamental research with applied AI

Apply