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Reinforcement Learning Internship Jobs in Baltimore, MD

AIToolboard

AI Research Scientist

Baltimore, MD · On-site

$140 - $200/hr

... deep learning, natural language processing, computer vision, or reinforcement learning ... Mentor junior researchers and interns. Present research findings to technical and non-technical ...

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Reinforcement Learning Internship information

See Baltimore, MD salary details

$8

$16

$24

How much do reinforcement learning internship jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for reinforcement learning internship in Baltimore, MD is $16.93, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.09 per hour, depending on experience, location, and employer.

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 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 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.

What are the most commonly searched types of Reinforcement Learning jobs in Baltimore, MD?

The most popular types of Reinforcement Learning jobs in Baltimore, MD are:

What are popular job titles related to Reinforcement Learning Internship jobs in Baltimore, MD?

For Reinforcement Learning Internship jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning Internship jobs in Baltimore, MD look for?

The top searched job categories for Reinforcement Learning Internship jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Reinforcement Learning Internship jobs?

Cities near Baltimore, MD with the most Reinforcement Learning Internship job openings:

Reinforcement Learning Internship jobs near you

AI Research Scientist

Baltimore, MD • On-site

AIToolboard
See more jobs at AIToolboardexternal

$140 - $200/hr

Other

Posted 12 days ago

Job description

# AI Research ScientistPlacements24Baltimore, USFull-time## About the RoleOur client is a cutting-edge research organization seeking a brilliant AI Research Scientist to contribute to groundbreaking advancements in artificial intelligence and emerging technologies. This role is based in our state-of-the-art facility in Baltimore, Maryland, US , and offers a unique opportunity to work on challenging problems at the forefront of AI research. The successful candidate will be involved in designing, developing, and evaluating novel AI algorithms and models, with a focus on areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning. Responsibilities include conducting theoretical and empirical research, publishing findings in top-tier conferences and journals, collaborating with a team of world-class researchers and engineers, and translating research ideas into practical applications. You will also be expected to prototype AI systems, analyze large datasets, and contribute to the intellectual property portfolio of the company. A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is strongly preferred. Proven experience in conducting research and a strong publication record are essential. Proficiency in programming languages such as Python and experience with AI frameworks (e.g., TensorFlow, PyTorch) are required. Excellent problem-solving, analytical, and critical thinking skills are paramount. This is an on-site position, fostering a collaborative and innovative research environment. Join us to shape the future of artificial intelligence.Key Responsibilities:Conduct cutting-edge research in artificial intelligence and machine learning. Design, develop, and implement novel AI algorithms and models. Analyze large and complex datasets to extract meaningful insights. Prototype and test AI systems and applications. Publish research findings in leading academic journals and conferences. Collaborate with interdisciplinary teams of researchers and engineers. Stay abreast of the latest advancements in AI and related fields. Contribute to the development of intellectual property and patents. Mentor junior researchers and interns. Present research findings to technical and non-technical audiences.Apply on Company Site### Apply for this PositionFill out the form below to apply for this rolePDF or Word document, max 10MBBy submitting this application, you agree to your information being shared with the hiring team.### About the CompanyPlacements24### Job DetailsJob TypeFull-timeLocationBaltimore, USReferenceEXT-MPQVF6YC-YIZ4Posted29 May 2026Views20 viewsApplications0 applications #J-18808-Ljbffr

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