1

Summer Reinforcement Learning Intern Jobs in California

... academic summer. DS interns will have a designated data scientist mentor and will spend the ... To that end, there are three major components with which an intern should expect to engage.

... academic summer. DS interns will have a designated data scientist mentor and will spend the ... To that end, there are three major components with which an intern should expect to engage.

... academic summer. DS interns will have a designated data scientist mentor and will spend the ... To that end, there are three major components with which an intern should expect to engage.

... academic summer. DS interns will have a designated data scientist mentor and will spend the ... To that end, there are three major components with which an intern should expect to engage.

... academic summer. DS interns will have a designated data scientist mentor and will spend the ... To that end, there are three major components with which an intern should expect to engage.

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 ...

next page

Showing results 1-20

Summer Reinforcement Learning Intern information

What is a summer reinforcement learning intern?

Summer Reinforcement Learning Interns are students or recent graduates who work temporarily, usually during the summer, to gain hands-on experience in reinforcement learning, a subfield of machine learning. Their responsibilities often include assisting with the development and testing of algorithms, analyzing data, and collaborating with research teams on projects related to artificial intelligence. This role provides an opportunity to apply theoretical knowledge from coursework to real-world problems, often resulting in valuable skills and networking opportunities for future careers in AI or data science.

What types of projects or tasks can I expect as a summer reinforcement learning intern?

As a Summer Reinforcement Learning Intern, you can expect to work on projects ranging from implementing and testing RL algorithms to analyzing experiment results and optimizing model performance. Interns often collaborate with experienced researchers and engineers, contributing to both independent and team projects. You may also be involved in literature reviews, setting up simulation environments, and presenting findings to your team. The role provides hands-on experience with real-world RL applications, and you’ll have the opportunity to learn from feedback and mentorship throughout your internship.

What are the key skills and qualifications needed to thrive as a summer reinforcement learning intern, and why are they important?

To thrive as a Summer Reinforcement Learning Intern, you need a solid background in computer science, mathematics (particularly probability and linear algebra), and experience with machine learning frameworks. Familiarity with Python, TensorFlow or PyTorch, and a strong grasp of reinforcement learning algorithms are typically required, often supported by coursework or relevant certifications. Strong problem-solving skills, curiosity, and effective communication help you stand out in collaborative research and fast-paced project environments. These skills are crucial for contributing to innovative AI projects, rapidly learning new concepts, and effectively sharing findings with mentors and team members.

What is the difference between Summer Reinforcement Learning Intern vs Summer Data Science Intern?

AspectSummer Reinforcement Learning InternSummer Data Science Intern
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of machine learning and programmingUndergraduate or graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentResearch-focused, experimental projects, often in AI and machine learning teamsData analysis, modeling, visualization, and reporting tasks across various departments
Employer & Industry UsageTech companies, AI startups, research labsTech firms, finance, healthcare, and consulting industries

The Summer Reinforcement Learning Intern role focuses on developing and testing reinforcement learning algorithms, often within AI research teams. In contrast, the Summer Data Science Intern role involves broader data analysis and modeling tasks. Both roles require programming skills and are common in tech industries, but they differ in their specific focus and project types.

What job categories do people searching Summer Reinforcement Learning Intern jobs in California look for?

The top searched job categories for Summer Reinforcement Learning Intern jobs in California are:

What cities in California are hiring for Summer Reinforcement Learning Intern jobs?

Cities in California with the most Summer Reinforcement Learning Intern job openings:

Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026

Nvidia

Santa Clara, CA • On-site

$17.50 - $23.50/hr

Internship

Re-posted 26 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped pioneer projects such as Megatron, MT-NLG, and DLSS. We build state-of-the-art foundation models and develop new methods to improve their reasoning, alignment, reliability, and ability to solve real-world tasks.

This internship will focus on algorithmic research at the intersection of reinforcement learning and large language models. You will design, implement, and evaluate new RL-based methods for improving LLM behavior, with a strong emphasis on hands-on experimentation and rapid prototyping at scale. What you will be doing: Develop and prototype reinforcement learning algorithms for large language models Explore methods for improving reasoning, alignment, instruction following, and multi-turn interaction Design experiments to evaluate model behavior, robustness, hallucination, and task performance Implement research ideas in Python and PyTorch, and run experiments on large-scale GPU clusters What we need to see: Pursuing a PhD in AI, ML, CS, CE, EE, Math, Physics, or a related field Strong background in reinforcement learning and natural language processing Excellent programming skills, especially in Python Experience with deep learning frameworks such as PyTorch Comfort with experimental research, debugging models, and working with large-scale training pipelines Ways to stand out from the crowd: Publications or open-source contributions in RL, LLMs, alignment, reasoning, or post-training Experience with RLHF, RLAIF, policy optimization, reward modeling, or agentic LLM systems Strong intuition for both algorithms and large-scale implementation If you are excited about using reinforcement learning to make language models more capable, reliable, and useful, this team could be a great fit.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD. You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until May 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US