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 ...
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 ...
Reinforcement Learning Planning Research Intern
Santa Clara, CA · On-site
$19 - $65/hr
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 ...
Reinforcement Learning Planning Research Intern
Santa Clara, CA · On-site
$19 - $65/hr
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 ...
Senior Machine Learning Engineer - Deep & Reinforcement Learning
Houston, TX · On-site
$99.80K - $137K/yr
Position : Senior Machine Learning Engineer - Deep & Reinforcement Learning Location : Houston, TX Onsite Duration : Long term contract Required skills: - Degree in STEM field, Ph.D preferred ...
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Senior Machine Learning Engineer - Deep & Reinforcement Learning
Houston, TX · On-site
$99.80K - $137K/yr
Position : Senior Machine Learning Engineer - Deep & Reinforcement Learning Location : Houston, TX Onsite Duration : Long term contract Required skills: - Degree in STEM field, Ph.D preferred ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) -...
Seattle, WA · On-site
You'll conducting research into the theory and application of deep reinforcement learning. You will ... Amazon has positions available for Machine Learning Applied Science Internships in, but not limited ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) -...
Seattle, WA · On-site
You'll conducting research into the theory and application of deep reinforcement learning. You will ... Amazon has positions available for Machine Learning Applied Science Internships in, but not limited ...
The Planning & Decision-Making group is investing heavily in deep reinforcement learning to move beyond classical planning, learning policies that generalize across novel driving scenarios, handle ...
The Planning & Decision-Making group is investing heavily in deep reinforcement learning to move beyond classical planning, learning policies that generalize across novel driving scenarios, handle ...
Senior AI Research Scientist
$180K - $200K/yr
Experience in Deep Reinforcement Learning (DRL) (experience in academic and/or internship settings will be considered) * Proficient in TensorFlow, PyTorch, and Keras * Strong communication skills in ...
Senior AI Research Scientist
$180K - $200K/yr
Experience in Deep Reinforcement Learning (DRL) (experience in academic and/or internship settings will be considered) * Proficient in TensorFlow, PyTorch, and Keras * Strong communication skills in ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
$17.50 - $23.50/hr
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 ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
$17.50 - $23.50/hr
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 ...
$20/hr
Conduct research on multi-agent deep reinforcement learning, including designing novel algorithms and architectures, conducting computational experiments in benchmark environments, and compiling ...
$20/hr
Conduct research on multi-agent deep reinforcement learning, including designing novel algorithms and architectures, conducting computational experiments in benchmark environments, and compiling ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
Santa Clara, CA · On-site
$17.50 - $23.50/hr
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 ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
Santa Clara, CA · On-site
$17.50 - $23.50/hr
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 ...
College of IST- Undergraduate Researcher in Multi-Agent Reinforcement Learning
University Park, PA · On-site +1
$20/hr
Conduct research on multi-agent deep reinforcement learning, including designing novel algorithms and architectures, conducting computational experiments in benchmark environments, and compiling ...
College of IST- Undergraduate Researcher in Multi-Agent Reinforcement Learning
University Park, PA · On-site +1
$20/hr
Conduct research on multi-agent deep reinforcement learning, including designing novel algorithms and architectures, conducting computational experiments in benchmark environments, and compiling ...
Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). * Strong background ...
Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). * Strong background ...
Machine Learning Engineer, Reinforcement Learning
Pittsburgh, PA · On-site
$100K - $300K/yr
Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). * Strong background ...
Machine Learning Engineer, Reinforcement Learning
Pittsburgh, PA · On-site
$100K - $300K/yr
Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). * Strong background ...
Reinforcement Learning Engineering Intern
Pensacola, FL · On-site
$14.25 - $19/hr
Downtown Pensacola, FL Type: Full-time Internship, 40 hours/week About the Internship The Reinforcement Learning Engineering Internship is an opportunity for Bachelors and Masters candidate students ...
Reinforcement Learning Engineering Intern
Pensacola, FL · On-site
$14.25 - $19/hr
Downtown Pensacola, FL Type: Full-time Internship, 40 hours/week About the Internship The Reinforcement Learning Engineering Internship is an opportunity for Bachelors and Masters candidate students ...
They are seeking Reinforcement Learning experts to develop and deploy cutting-edge RL algorithms ... and deep learning frameworks (PyTorch, TensorFlow, JAX) • Strong understanding of robot ...
They are seeking Reinforcement Learning experts to develop and deploy cutting-edge RL algorithms ... and deep learning frameworks (PyTorch, TensorFlow, JAX) • Strong understanding of robot ...
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
Research Internship - Reinforcement Learning for Large Foundation Models
$80.17K - $124.80K/yr
Research Internship - Reinforcement Learning for Large Foundation Models Tencent AI Lab is ... deep learning frameworks such as PyTorch. * have good publication track records and history of ...
Research Internship - Reinforcement Learning for Large Foundation Models
$80.17K - $124.80K/yr
Research Internship - Reinforcement Learning for Large Foundation Models Tencent AI Lab is ... deep learning frameworks such as PyTorch. * have good publication track records and history of ...
Senior Reinforcement Learning Engineer
$103.60K - $142.20K/yr
JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... This engineer will leverage their deep expertise in RL to solve critical locomotion and ...
Senior Reinforcement Learning Engineer
$103.60K - $142.20K/yr
JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... This engineer will leverage their deep expertise in RL to solve critical locomotion and ...
Senior Reinforcement Learning Engineer
Austin, TX · On-site
$103.60K - $142.20K/yr
Required : • Deep, hands-on expertise (5+ years) with common RL frameworks (e.g., PyTorch, JAX ... reinforcement learning, including deep expertise in areas like imitation learning, model-based RL ...
Senior Reinforcement Learning Engineer
Austin, TX · On-site
$103.60K - $142.20K/yr
Required : • Deep, hands-on expertise (5+ years) with common RL frameworks (e.g., PyTorch, JAX ... reinforcement learning, including deep expertise in areas like imitation learning, model-based RL ...
... deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a ...
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... deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a ...
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
Quick apply
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
Internship Deep Reinforcement Learning information
See salary details
$8.89 - $10.29
3% of jobs
$10.29 - $11.69
3% of jobs
$11.69 - $13.09
3% of jobs
$13.09 - $14.49
9% of jobs
$14.94 is the 25th percentile. Wages below this are outliers.
$14.49 - $15.89
21% of jobs
The median wage is $16.47 / hr.
$15.89 - $17.29
26% of jobs
$18.39 is the 75th percentile. Wages above this are outliers.
$17.29 - $18.68
13% of jobs
$18.68 - $20.08
12% of jobs
$20.08 - $21.48
4% of jobs
$21.48 - $22.88
3% of jobs
$22.88 - $24.28
3% of jobs
$8
$17
$24
How much do internship deep reinforcement learning jobs pay per hour?
As of May 31, 2026, the average hourly pay for internship deep reinforcement learning 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 are the key skills and qualifications needed to thrive as an Intern in Deep Reinforcement Learning, and why are they important?
To thrive as an Intern in Deep Reinforcement Learning, you need a solid background in mathematics (especially linear algebra, probability, and calculus), programming (Python), and foundational knowledge in machine learning principles, usually supported by ongoing or completed coursework in computer science or related fields. Familiarity with frameworks and tools such as TensorFlow, PyTorch, OpenAI Gym, and experience using version control systems like Git are typically required. Analytical thinking, curiosity, and effective communication are essential soft skills for collaborating on research problems and sharing complex findings. These skills and qualities are crucial for contributing to innovative projects and successfully navigating the challenges of cutting-edge AI research.
What types of projects or tasks can I expect to work on during a Deep Reinforcement Learning internship?
As a Deep Reinforcement Learning (DRL) intern, you'll typically work on projects involving the development, implementation, and evaluation of reinforcement learning algorithms. This might include tasks like training agents in simulated environments, tuning hyperparameters, analyzing performance metrics, and collaborating with team members to integrate DRL solutions into larger systems. You'll also likely spend time reading recent research papers, experimenting with frameworks such as TensorFlow or PyTorch, and presenting your findings to the research team. Collaboration with mentors and other interns is common, and you'll gain hands-on experience that prepares you for more advanced roles in AI research or engineering.
What is an internship in Deep Reinforcement Learning?
An internship in Deep Reinforcement Learning (DRL) is a temporary, hands-on position where interns learn and apply state-of-the-art machine learning algorithms that enable computers to learn decision-making tasks through trial and error. Interns typically work on projects involving neural networks, reward systems, and environments like games or simulations. These internships provide valuable experience with frameworks such as TensorFlow or PyTorch, and exposure to current research in artificial intelligence. The experience helps students or recent graduates build technical skills and prepare for careers in AI research or industry.
What is the difference between Internship Deep Reinforcement Learning vs Data Science Intern?
| Aspect | Internship Deep Reinforcement Learning | Data Science Intern |
|---|---|---|
| Required Skills | Machine learning, programming (Python), reinforcement learning concepts | Statistics, data analysis, programming (Python/R), data visualization |
| Work Environment | Research labs, AI companies, tech startups | Business analytics, tech firms, consulting agencies |
| Industry Usage | AI research, robotics, autonomous systems | Business intelligence, marketing, finance |
Internship Deep Reinforcement Learning focuses on developing algorithms that enable systems to learn through trial and error, often in AI research or robotics. Data Science Internships involve analyzing data to extract insights and support decision-making. While both roles require programming skills, reinforcement learning emphasizes AI-specific techniques, whereas data science centers on statistical analysis and data visualization.
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What cities are hiring for Internship Deep Reinforcement Learning jobs? Cities with the most Internship Deep Reinforcement Learning job openings:
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What states have the most Internship Deep Reinforcement Learning jobs? States with the most job openings for Internship Deep Reinforcement Learning jobs include:
What job categories do people searching Internship Deep Reinforcement Learning jobs look for? The top searched job categories for Internship Deep Reinforcement Learning jobs are:
$19 - $65/hr
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Retirement
Posted 9 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. 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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