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Reinforcement Learning Engineer Jobs in Ohio (NOW HIRING)

... and reinforcement learning), you will directly contribute to the development of scalable Data ... Proficient in programming languages such as Python and familiar with data science/machine learning ...

... and reinforcement learning where applicable. * Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous ...

... and reinforcement learning where applicable. * Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous ...

... and reinforcement learning where applicable. * Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous ...

Sr. Data Scientist - AI/ML

Cincinnati, OH · On-site

$110K - $165K/yr

... reinforcement learning) * Next-gen Generative AI and Agentic AI techniques to build dynamic, intelligent systems Collaborating closely with our Data and AI Engineering teams, you'll turn complex ...

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Reinforcement Learning Engineer information

See Ohio salary details

$36.1K

$110.2K

$182.1K

How much do reinforcement learning engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for reinforcement learning engineer in Ohio is $110,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,900.00 and $144,000.00 per year, depending on experience, location, and employer.

What are Reinforcement Learning Engineers?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

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

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Reinforcement Learning Engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

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

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What are popular job titles related to Reinforcement Learning Engineer jobs in Ohio? For Reinforcement Learning Engineer jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Reinforcement Learning Engineer jobs? Cities in Ohio with the most Reinforcement Learning Engineer job openings:
Infographic showing various Reinforcement Learning Engineer job openings in Ohio as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $110,152 per year, or $53 per hour.
Lead Algorithm & Signal Processing Engineer with Security Clearance

Lead Algorithm & Signal Processing Engineer with Security Clearance

STR

Dayton, OH

$157K - $220K/yr

Other

Posted 13 days ago


Job description

About the Team: The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies. EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us. The Role: As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more. What You Will Do: * Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges * Design and implement models and simulations for advanced RF systems * Lead small teams and projects * Support business development and proposal writing efforts * Collaborate with diverse teams to deploy cutting-edge capabilities to prototype systems Who You Are: * This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline * 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years) * Experience in two or more of the following areas: * RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping * Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++ * Strong mathematical, troubleshooting, written, and verbal communication skills Even Better: * Active Security Clearance * Experience with: * RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms * Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow * Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution * Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems * Ability to create and present briefings to customers and senior management to provide both high-level and deep technical solution explanations Pay Information
Full-Time Salary Range: $157,000 - $220,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws. Create a Job Alert Interested in building your career at STR? Get future opportunities sent straight to your email. Create alert