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Reinforcement Learning Intern Jobs (NOW HIRING)

Intel

Software Development Graduate Intern

Folsom, CA · On-site

$111K/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 ...

BMW

$40/hr

Experience with robot learning, imitation learning, reinforcement learning, or multimodal ... Access to the Intern Vehicle Lease Program. Relocation assistance is not available for this ...

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 · 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 ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Apply machine learning/reinforcement learning to improve content understanding, computer vision, deep learning, language understanding and content ranking & recommendations. Build machine learning ...

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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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Reinforcement Learning Intern jobs near you
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.

Software Development Graduate Intern

Folsom, CA • On-site

Intel Corporation
Manufacturing • 10K+ employees
Learn more about Intel Corporationexternal

$111K/yr

Full-time

Medical, Retirement, PTO

Posted 21 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 162 rated electronics manufacturers

Job description

Job Details:
Job Description:
Role Overview
Join Intel's Software team and contribute to the development of next-generation technologies that power advances in Artificial Intelligence, machine learning, and computing platforms.
As a Software Development Graduate Intern, you will contribute to the design, development, testing, and optimization of system software across one or more layers of the software stack, including firmware, drivers, operating systems, middleware, and AI software frameworks. You will collaborate with experienced engineers to develop innovative solutions that enable Intel platforms and technologies while gaining hands-on industry experience.
What You'll Experience:
Key Responsibilities
  • Design, develop, test, and optimize software solutions using C, C++, and Python.
  • Support AI, machine learning, and deep learning initiatives across software and hardware platforms.
  • Develop and enhance workflows supporting MLOps and Deep Learning CI/CD pipelines.
  • Contribute to software performance analysis, debugging, and optimization.
  • Work with machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras.
  • Support research, development, and deployment efforts involving Generative AI, Large Language Models (LLMs), Diffusion Models, and Reinforcement Learning.
  • Collaborate with engineers across software, hardware, architecture, and AI disciplines.
  • Gain practical experience through real-world projects that support Intel business objectives and future technology innovations.

Behavioral Traits that we are looking for:
  • Curiosity: Eager to learn new technologies and explore unfamiliar problems
  • Initiative: Takes proactive steps to contribute and ask questions
  • Collaboration: Works well in team environments and values diverse perspectives
  • Analytical Thinking: Able to break down complex problems into manageable parts
  • Adaptability: Comfortable navigating ambiguity and evolving priorities
  • Communication: Clearly communicates technical ideas and findings
  • Growth Mindset: Open to feedback and continuously developing skills

What You Will Gain
  • Hands-on experience applying AI to real-world security challenges.
  • Mentorship from experienced engineers and researchers.
  • Exposure to industry tools, workflows, and best practices.
  • Opportunity to contribute to meaningful, impactful projects.

Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.
See Intel Benefits for more details.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.
For information on Intel's immigration sponsorship guidelines, please see
Intel U.S. Immigration Sponsorship Information
Minimum Qualifications and Experience:
You should be pursuing a Master or PhD in Computer/Electrical Engineering, Computer Science or related STEM degree.
Must be available to work full-time for the duration of a 6+ month internship.
3+ months of academic or professional experience in following:
  • Software development in Linux and/or Windows environments.
  • Programming using C, C++, and/or Python.
  • Machine learning and/or deep learning development.
  • AI framework usage including TensorFlow and/or PyTorch.
  • Reinforcement Learning and/or Generative AI technologies including Large Language Models (LLMs) and Diffusion Models.

Preferred Qualifications and Experience:
  • Hands-on experience with triage/debug hardware-software issues.
  • Development or support of Deep Learning CI/CD or MLOps workflows.
  • Experience with creating robust, reliable Deep Learning deployment solutions.

Job Type:
Student / Intern
Shift:
Shift 1 (United States of America)
Primary Location:
US, California, Folsom
Additional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $111,098.00-111,102.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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