Pittsburgh, PA · On-site
$55 - $59/hr
As a research intern, you will work closely with FieldAI researchers and engineers to explore novel ... Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
Pittsburgh, PA · On-site
$55 - $59/hr
As a research intern, you will work closely with FieldAI researchers and engineers to explore novel ... Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
Pittsburgh, PA · On-site
$55 - $59/hr
As a research intern, you will work closely with FieldAI researchers and engineers to explore novel ... Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
Pittsburgh, PA · On-site
$55 - $59/hr
As a research intern, you will work closely with FieldAI researchers and engineers to explore novel ... Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
Pittsburgh, PA · On-site
As a research intern, you will work closely with FieldAI researchers and engineers to explore novel ... Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
Pittsburgh, PA · On-site
As a research intern, you will work closely with FieldAI researchers and engineers to explore novel ... Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
Experience or interest in signal/image processing, object tracking, autonomous control, software development, artificial intelligence, and/or machine learning (deep learning/reinforcement learning ...
Experience or interest in signal/image processing, object tracking, autonomous control, software development, artificial intelligence, and/or machine learning (deep learning/reinforcement learning ...
Experience or interest in signal/image processing, object tracking, autonomous control, software development, artificial intelligence, and/or machine learning (deep learning/reinforcement learning ...
Experience or interest in signal/image processing, object tracking, autonomous control, software development, artificial intelligence, and/or machine learning (deep learning/reinforcement learning ...
$8.92 - $10.32
3% of jobs
$10.32 - $11.72
3% of jobs
$11.72 - $13.12
3% of jobs
$13.12 - $14.52
9% of jobs
$14.98 is the 25th percentile. Wages below this are outliers.
$14.52 - $15.93
21% of jobs
The median wage is $16.51 / hr.
$15.93 - $17.33
26% of jobs
$18.44 is the 75th percentile. Wages above this are outliers.
$17.33 - $18.73
13% of jobs
$18.73 - $20.13
12% of jobs
$20.13 - $21.53
4% of jobs
$21.53 - $22.94
3% of jobs
$22.94 - $24.34
3% of jobs
$8
$17
$24
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.
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.
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.
The most popular types of Reinforcement Learning jobs in Pennsylvania are:
For Reinforcement Learning Intern jobs in Pennsylvania, the most frequently searched job titles are:
The top searched job categories for Reinforcement Learning Intern jobs in Pennsylvania are:
Cities in Pennsylvania with the most Reinforcement Learning Intern job openings:
Pittsburgh, PA • On-site
$55 - $59/hr
Full-time, Part-time, Internship
Re-posted 22 days ago
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.
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.
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.
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.
