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Reinforcement Learning Intern Jobs (NOW HIRING)

Veeam Software

AI Intern- Summer 2026

San Jose, CA · On-site

$40 - $50/hr

As a Summer Intern, you will participate in onboarding with the UR team that will set you up for ... Reinforcement Learning Software Engineering Targeted Field of Study Targeted Field of Study ...

Microsoft

Research Intern - Self-Improving AI

Cambridge, MA · On-site

$6.71K - $13.27K/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

$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 · 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 ...

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How much do reinforcement learning intern jobs pay per hour?

As of May 31, 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 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.

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 May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Temporary. Highlights an 100% Physical job distribution, with an average salary of $35,436 per year, or $17 per hour.
AI Intern- Summer 2026

AI Intern- Summer 2026

Veeam Software

San Jose, CA • On-site

$40 - $50/hr

Other

Posted 17 days ago

Veeam Software rating

8.9

Company rating: 8.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

25th of 184 rated software companies

Job description

Summer Internship  

Our Summer Internship is designed for students leading into their final year of university, who want to gain real life work experience in a fast past, exciting and professional environment.   

As a Summer Intern, you will participate in onboarding with the UR team that will set you up for success in your role. You will also benefit from professional development sessions, networking, and social events provided by the Internship Program.   

The program takes place from June - August 2026 (12 week program)  

Language Model Development, Machine: Learned Threat Detection, Agent-Based: Interactive Training Simulators

What We're Looking For

  • Passion & Curiosity: Strong interest in machine learning research, experimentation, and understanding model behavior.
  • Machine Learning Fundamentals: Strong foundation in supervised/unsupervised learning, optimization, regularization, model evaluation, and deep learning fundamentals.
  • Model Training Experience: Hands-on experience training deep learning models in PyTorch or TensorFlow. Ability to diagnose poor convergence, overfitting, unstable training, gradient issues, data leakage, and weak generalization.
  • Statistics & Experimentation: Strong understanding of probability, statistics, hypothesis testing, experimental analysis, and interpreting noisy results.
  • Software Engineering Discipline: Ability to write clean, maintainable code with strong encapsulation, separation of concerns, modularity, and object-oriented design principles.
  • Rapid Prototyping: Comfortable using Claude or similar AI tools for development, debugging, and rapid iteration.
  • Research Mindset: Ability to independently investigate problems, design experiments, and analyze outcomes critically.

Nice To Have

  • LLM Experience: Experience training, fine-tuning, or evaluating transformer models or LLMs.
  • Modern ML Tooling: Familiarity with Weights & Biases, MLflow, distributed training, mixed precision, LoRA/QLoRA, or hyperparameter optimization.
  • Research Exposure: Experience reproducing papers, participating in ML competitions, contributing to research projects, or building advanced personal projects.
  • Applied AI Domains: Exposure to NLP, generative AI, multimodal systems, retrieval systems, or recommendation systems.

What You Could Be Working On

  • Model Training & Evaluation: Train and improve ML models across a variety of datasets and tasks.
  • Training Diagnostics: Analyze loss curves, gradients, metrics, and experiments to diagnose model failures and improve performance.
  • LLM & Generative AI Research: Work on transformer models, fine-tuning workflows, evaluation systems, and generative AI applications.
  • Rapid Experimentation: Prototype and iterate quickly using Claude-assisted development workflows.
  • Research Tooling: Build reusable experimentation, training, and evaluation workflows for ML research.

Candidates should have completed advanced coursework in areas such as:

Machine Learning
Deep Learning
Probability & Statistics
Linear Algebra
Optimization
Algorithms & Data Structures
Artificial Intelligence
Natural Language Processing
Computer Vision
Reinforcement Learning
Software Engineering
Targeted Field of Study

Targeted Field of Study Currently pursuing a Bachelors or Master's degree in:

Computer Science
Artificial Intelligence
Machine Learning
Statistics
Applied Mathematics
Data Science
Electrical Engineering
Or other closely related quantitative fields

Requirements:

  • This role requires you to be in office 5 days a week at the San Jose, California location

Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa now or in the future. 

Benefits

As a paid intern at Veeam, you'll receive:

  • Paid Company Holidays during your internship
  • Tech Stipend to help set up your workspace
  • 8 Hours of Paid Volunteer Time through our Veeam Cares Program
  • Personal and Professional Development through our Internship Program

We're committed to providing a supportive and rewarding internship experience.

The pay range posted is an hourly rate of base pay. When making an offer of employment, Veeam will take into consideration the candidate's expectations, experience, education, scope of responsibility for the role, and the current market demands.

United States of America Intern Pay Range
$40 - $50 USD

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