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Reinforcement Learning Engineer Jobs in Ohio (NOW HIRING)

STR

Autonomy Algorithms Senior Software Engineer

Dayton, OH · On-site +1

$134K - $184K/yr

Reinforcement learning * Agentic AI * Experience programming for embedded and physical devices * Multi-agent coordination of UxVs * MAVLINK or other C2 protocols * ROS TAK * DevSecOps and CI/CD tool ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning ... AI, or reinforcement learning * Experience developing AI/ML capabilities to operate in a ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning ... reinforcement learning * 5+ years of experience developing AI/ML capabilities to operate in a ...

Phase2 Technology

AI/ML Engineer, Senior

Dayton, OH · On-site

$99K - $225K/yr

R0242678 AI/ML Engineer, Senior The Opportunity As a Senior Artificial Intelligence and Machine ... reinforcement learning. * 5+ years of experience developing AI/ML capabilities to operate in a ...

STR

Lead Algorithm & Signal Processing Engineer

Dayton, OH · On-site

$157K - $220K/yr

... reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ... We have opportunities for talented engineers at multiple experience levels in our MA, VA, and OH ...

Goosehead

AI Agent Engineer

Westlake, OH

... reinforcement learning. * Contribute to the culture of security, compliance, and ethical AI ... Mentor junior engineers and contribute to the growth of Goosehead's AI talent pipeline. Required ...

Deloitte

AI and Data Science Engineer II

Columbus, OH · On-site

$110K - $132K/yr

Experience with deep learning architectures or reinforcement learning The wage range for this role ... We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ...

Deloitte

AI and Data Science Engineer II

Cincinnati, OH · On-site

$109K - $131K/yr

Experience with deep learning architectures or reinforcement learning The wage range for this role ... We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ...

Deloitte

AI and Data Science Engineer II

Cleveland, OH · On-site

$111K - $133K/yr

Experience with deep learning architectures or reinforcement learning The wage range for this role ... We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ...

Path Robotics

Senior Robotics Software Engineer

Columbus, OH · On-site

$118K - $156K/yr

We're seeking a Senior Robotics Software Engineer who thrives on hard systems problems. Welding is ... Advance the stack with learning-based methods and simulation - reinforcement learning, learned ...

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All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Ohio

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 Sep 15, 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 is a reinforcement learning engineer?

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 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 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 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 job categories do people searching Reinforcement Learning Engineer jobs in Ohio look for?

The top searched job categories for Reinforcement Learning Engineer jobs in Ohio are:

What cities in Ohio are hiring for Reinforcement Learning Engineer jobs?

Cities in Ohio with the most Reinforcement Learning Engineer job openings:

Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Ohio as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $110,152 per year, or $53 per hour.

Autonomy Algorithms Senior Software Engineer

Dayton, OH • On-site, Remote

STR
See more jobs at STRexternal

$134K - $184K/yr

Full-time

Re-posted 15 days ago

Job description

About the Team: 

STR's Analytics & C2 Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation in order to improve mission success. 

The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning, and more. 

The Role: 

As an Autonomy Algorithms Senior Software Engineer, you will work as part of a tightly knit team to design, develop, implement, integrate, test, and demonstrate advanced algorithms and software systems for autonomous platforms. You will provide technical leadership and mentoring on programs working throughout the software and system development lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms, DevSecOps, and CI/CD pipelines. This position is based in Woburn, MA, Arlington, VA, or Dayton, OH, and will take advantage of STR's flexible, hybrid environment - when the work does not require use of STR's facilities, you are welcome to work remotely.  

Who You Are: 

  • Ability to obtain a security clearance, for which U.S Citizenship is needed by the U.S government
  • BS in Computer Science or related technical field with 5+ years of experience
  • 3+ years of experience with C++ or Java
  • Full stack development experience but with a heavy focus on backend algorithmic development
  • Proven understanding of data structures, algorithms, concurrency, and code optimization of backend executables
  • Proven ability to develop, implement, integrate, and test autonomy algorithms and software
  • Not in scope: Experience primarily with Front end UI/UX or database management/interaction
  • Proven ability to work with research scientists to transition complex mathematical algorithmic concepts to software application
  • Proven ability to proactively assume leadership within modest size engineering teams (2-4 engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance
  • Demonstrated success executing industry best practices in areas such as code review, unit testing, test coverage, static analysis, etc., to ensure mature, high quality software products
  • Experience in supporting system/software architecture design at the system and system of systems (SoS) levels
  • Experience utilizing the following: 
    • Object-Oriented Programming principles for large scale systems
    • Agile software lifecycle methodologies and tools, such as JIRA, Confluence, Gitlab, static analysis, etc
    • Test-driven development methodologies 
  • A demonstrated ability to adopt new languages, libraries, and technologies 

Even Better: 

  • MS or PhD in Computer Science or related technical field
  • Experience with the following:  
    • Collection Orchestration
    • Satellite Constellation Management
    • Containerization and service based architectures
    • Coordinating Electronic Warfare resources
    • Reinforcement learning
    • Agentic AI
    • Experience programming for embedded and physical devices
    • Multi-agent coordination of UxVs
    • MAVLINK or other C2 protocols
    • ROS TAK
    • DevSecOps and CI/CD tool chains
    • Constraint satisfaction algorithms 
    • Knowledge representation/ontologies
    • Python 
  • Active Security Clearance 

Pay Information 

Full-Time Salary Range: $134,000 - $184,000 

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. 

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