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Reinforcement Learning Intern Jobs in California

We are looking for a highly motivated Robotics Intern (Part Time) to support robotics control and ... Implement and run reinforcement learning, imitation learning, or control experiments under guidance ...

We are looking for a highly motivated Robotics Intern (Part Time) to support robotics control and ... Implement and run reinforcement learning, imitation learning, or control experiments under guidance ...

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 ...

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 ...

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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Reinforcement Learning Intern information

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How much do reinforcement learning intern jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for reinforcement learning intern in California is $16.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 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.

Does IQVIA pay interns?

Reinforcement Learning Interns at IQVIA are typically paid positions, with compensation varying based on location, experience, and program duration. Internships often include stipends or hourly wages and may require a commitment of several months, providing practical experience in data analysis and machine learning tools.

Is ML a high paying job?

Reinforcement Learning Intern positions are typically considered entry-level roles in the machine learning field, and salaries can vary based on location, company, and experience. Generally, machine learning roles tend to offer higher-than-average starting salaries compared to many other tech positions, especially for those with specialized skills in algorithms, programming, and data analysis.

What are the big 4 internships?

The 'Big 4' internships typically refer to summer internship programs at the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships are highly competitive and often focus on areas such as consulting, audit, tax, and advisory services, providing valuable experience for students pursuing careers in accounting and finance.

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.

How much do ML interns get paid?

Reinforcement Learning interns, as a type of machine learning intern, typically earn between $20 and $40 per hour, depending on the company, location, and level of experience. Paid internships often include opportunities to work with tools like Python and TensorFlow and may be full-time or part-time during the summer or academic year.

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 are the most commonly searched types of Reinforcement Learning jobs in California? The most popular types of Reinforcement Learning jobs in California are:
What job categories do people searching Reinforcement Learning Intern jobs in California look for? The top searched job categories for Reinforcement Learning Intern jobs in California are:
What cities in California are hiring for Reinforcement Learning Intern jobs? Cities in California with the most Reinforcement Learning Intern job openings:
Infographic showing various Reinforcement Learning Intern job openings in California as of July 2026, with employment types broken down into 10% Internship, 1% As Needed, 55% Full Time, 30% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $34,972 per year, or $16.8 per hour.
Reinforcement Learning Planning Research Intern

Reinforcement Learning Planning Research Intern

PlusAI

Santa Clara, CA • On-site

$19 - $65/hr

Other

Retirement

Posted 7 days ago


Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Autonomous vehicles (AVs) need to navigate complex environments not just smoothly, but with absolute safety. While traditional planners handle standard driving behavior, edge-case scenarios and sudden environmental changes require an unyielding safety net.

This summer, you will own the development of a Safety-Critical Trajectory Correction (STC) module. Acting as a real-time safety overlay, the STC will function as a fallback mechanism that intercepts and minimally perturbs intended trajectories when collision risks are detected. You will design, train, and validate this architecture using Deep Reinforcement Learning to provide a continuous, constrained safety barrier for our vehicle fleet.
Responsibilities
  • Conduct groundbreaking research with the potential to strongly impact Plus's autonomous driving products, leading to publishable results. Key focus area for this internship will be reinforcement learning to generate safe trajectories for autonomous driving.
  • Develop and benchmark cutting-edge techniques in deep learning. 
  • Collaborate with team members to optimize and seamlessly integrate developed techniques into the production perception/AV stack.
Required Skills:
  • Pursuing MS or PhD in CS, EE, mathematics, statistics or related field
  • Thorough understanding of reinforcement learning
  • 1-2 years experience with implementing and training models in at least one deep learning framework (PyTorch, Tensorflow, Jax
Preferred Skills:
  • Past experiences in design, implementation and training of deep reinforcement learning models
  • Past experiences in projects related to autonomous driving 
$19 - $65 an hour
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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