ZipRecruiter

Log In

1

Summer Reinforcement Learning Intern Jobs (NOW HIRING)

Microsoft

Research Intern - Self-Improving AI

Cambridge, MA · On-site

$6.7K - $13K/mo

... summer. Qualifications Required Qualifications * Enrolled in PhD or master's program in machine ... At least 1 year of experience with deep learning, language modeling, and/or reinforcement learning.

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 ...

Posted today

Workato

Intern, AI Engineering

San Francisco, CA

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 ...

Optiver

Quantitative Intern (Summer 2027)

Austin, TX · On-site +1

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site +1

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

previous pagenext page

Showing results 21-40

All JobsSummer Reinforcement Learning Intern Jobs

Summer Reinforcement Learning Intern information

See salary details

$8

$17

$24

How much do summer reinforcement learning intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for summer 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 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 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 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 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.
More about Summer Reinforcement Learning Intern jobs
What cities are hiring for Summer Reinforcement Learning Intern jobs? Cities with the most Summer Reinforcement Learning Intern job openings:
What states have the most Summer Reinforcement Learning Intern jobs? States with the most job openings for Summer Reinforcement Learning Intern jobs include:
What job categories do people searching Summer Reinforcement Learning Intern jobs look for? The top searched job categories for Summer Reinforcement Learning Intern jobs are:
Summer Reinforcement Learning Intern jobs near you

Robotics Research Intern, Robot Learning (Fall 2026) | PhD Part-time Internship

FieldAI

Pittsburgh, PA • On-site

$55 - $59/hr

Other

Posted 7 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
We are offering a Summer 2026 internship in Robot Learning for students interested in advancing embodied intelligence through large-scale learning, foundation models, and real-world robotic deployment. As a research intern, you will work closely with FieldAI researchers and engineers to explore novel approaches to robot learning and autonomy, with a focus on scalable methods that generalize across tasks and embodiments.
This internship is designed for PhD students who want to connect cutting-edge AI research with practical robotics systems. You will have the opportunity to design experiments, develop learning pipelines, and validate ideas on real robotic platforms, contributing directly to FieldAI's deployed autonomy stack.
What You Have:

  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
  • Strong foundation in machine learning fundamentals and experimental methodology.
  • Develop multi-modal data collection platform for day/night robot navigation data collection
  • Collect high-quality datasets for reproducible and comparable research and evaluation
  • Summarize and publish learnings in high-quality robot research conference or journal
  • Ability to work independently while collaborating effectively in a research environment.
  • Strong interest in embodied intelligence and real-world robotics systems.
The Extras That Set You Apart
  • Prior experience working with real robot platforms.
  • Familiarity with ROS or ROS 2.
  • Experience with large-scale or distributed training systems.
  • Publications or open-source contributions in robotics or AI.
  • Background in perception, planning, or control for robotics.
  • Interest in bridging foundational research with deployed robotic systems.
$55 - $59 an hour
What You Have:
  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
  • Strong foundation in machine learning fundamentals and experimental methodology.
  • Develop multi-modal data collection platform for day/night robot navigation data collection
  • Collect high-quality datasets for reproducible and comparable research and evaluation
  • Summarize and publish learnings in high-quality robot research conference or journal
  • Ability to work independently while collaborating effectively in a research environment.
  • Strong interest in embodied intelligence and real-world robotics systems.
The Extras That Set You Apart
  • Prior experience working with real robot platforms.
  • Familiarity with ROS or ROS 2.
  • Experience with large-scale or distributed training systems.
  • Publications or open-source contributions in robotics or AI.
  • Background in perception, planning, or control for robotics.
  • Interest in bridging foundational research with deployed robotic systems.

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
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.

Apply