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Reinforcement Learning Internship Jobs in Arizona

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

... reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making). - Demonstrated research experience through previous internships, work ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

... reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making). - Demonstrated research experience through previous internships, work ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

... reinforcement learning, generative models, foundation models, planning and search, and other ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

... reinforcement learning, generative models, foundation models, planning and search, and other ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

Intel

Machine Learning Engineer

Phoenix, AZ · On-site

... tuning and reinforcement learning. * Previous experiences designing and building evaluation ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

Intel

Sr. Machine Learning Engineer

Phoenix, AZ

$103K - $142K/yr

... reinforcement learning. * Ability to own and drive a research agenda independently, generating ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

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Reinforcement Learning Internship information

What are some common challenges faced during a Reinforcement Learning Internship and how can I prepare for them?

As a Reinforcement Learning Intern, you may encounter challenges such as tuning hyperparameters, managing computational resources, and understanding the intricacies of reward design. Interns often work with large datasets and complex environments, which can be resource-intensive and require efficient coding skills. To prepare, it's helpful to familiarize yourself with popular RL frameworks (like TensorFlow or PyTorch), brush up on mathematical concepts such as Markov Decision Processes, and practice implementing algorithms from academic papers. Collaboration with senior researchers and regular code reviews are also key aspects of the internship experience.

What is a Reinforcement Learning Internship?

A Reinforcement Learning Internship is a temporary position, often for students or recent graduates, where you work on projects involving reinforcement learning—a type of machine learning where agents learn by interacting with their environment to achieve goals. Interns typically assist with research, data analysis, algorithm development, and experimentation under the supervision of experienced professionals. This role provides hands-on experience with RL frameworks, coding in languages like Python, and exposure to real-world applications such as robotics, gaming, or autonomous systems. The internship helps build practical skills and can pave the way for advanced study or a career in artificial intelligence research.

What are the key skills and qualifications needed to thrive as a Reinforcement Learning Intern, and why are they important?

To thrive as a Reinforcement Learning Intern, you need a strong background in mathematics (especially probability, statistics, and linear algebra), programming proficiency (commonly in Python), and foundational knowledge of machine learning concepts. Experience with libraries and frameworks such as TensorFlow, PyTorch, OpenAI Gym, and familiarity with relevant research papers or coursework are highly beneficial. Analytical thinking, creativity, and effective communication skills help interns solve complex problems and collaborate with research teams. These skills are crucial for contributing to innovative RL projects and efficiently learning from real-world experimentation.

What is the difference between Reinforcement Learning Internship vs Machine Learning Internship?

AspectReinforcement Learning InternshipMachine Learning Internship
Required SkillsReinforcement learning algorithms, Python, data analysisSupervised/unsupervised learning, Python, data preprocessing
Work EnvironmentResearch labs, AI startups, tech companiesTech firms, research institutions, data-driven companies
Industry UsageSpecialized in decision-making models and sequential learningBroader applications including classification, regression, clustering

Reinforcement Learning Internship focuses on decision-making algorithms and sequential learning, often in research or AI startup environments. Machine Learning Internship covers a wider range of algorithms and applications, suitable for various industries. Both roles require programming skills and a background in data science, but reinforcement learning internships are more specialized in AI decision systems.

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What are popular job titles related to Reinforcement Learning Internship jobs in Arizona? For Reinforcement Learning Internship jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Internship jobs in Arizona look for? The top searched job categories for Reinforcement Learning Internship jobs in Arizona are:
What cities in Arizona are hiring for Reinforcement Learning Internship jobs? Cities in Arizona with the most Reinforcement Learning Internship job openings:
Reinforcement Learning Internship jobs near you
Infographic showing various Reinforcement Learning Internship job openings in Arizona as of June 2026, with employment types broken down into 20% Internship, 58% Full Time, and 22% Part Time. Highlights an 95% In-person, and 5% Remote job distribution.

Research Scientist, Learnable Planner

Waabi

Phoenix, AZ • On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 3 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
 
You will...
- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
 
Qualifications:
- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.
- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Previous experience in self-driving technology. 
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
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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