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Reinforcement Jobs in Ohio (NOW HIRING)

Statheros

Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability. * Collaborate with cross-functional teams to integrate PPO models into production ...

Commercial Metals Company

Truck Driver

Akron, OH · On-site

Training and Advancement Opportunities Why This Job CMC provides an excellent opportunity to learn the steel, construction reinforcement and ground stabilization industries and to grow in your career.

Commercial Metals Company

Truck Driver

Hamilton, OH · On-site

Training and Advancement Opportunities Why This Job CMC provides an excellent opportunity to learn the steel, construction reinforcement and ground stabilization industries and to grow in your career.

Commercial Metals Company

Truck Driver

Hamilton, OH · On-site

Training and Advancement Opportunities Why This Job CMC provides an excellent opportunity to learn the steel, construction reinforcement and ground stabilization industries and to grow in your career.

Commercial Metals Company

Truck Driver

Akron, OH · On-site

Training and Advancement Opportunities Why This Job CMC provides an excellent opportunity to learn the steel, construction reinforcement and ground stabilization industries and to grow in your career.

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What cities in Ohio are hiring for Reinforcement jobs? Cities in Ohio with the most Reinforcement job openings:
Infographic showing various Reinforcement job openings in Ohio as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

On-site, Remote

Contractor

Re-posted 17 days ago

Job description

About Us
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.
Job Responsibilities
  • Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
  • Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
  • Collaborate with cross-functional teams to integrate PPO models into production systems.
  • Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
  • Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
  • Build robust pipelines for training, evaluation, and deployment of RL models.
  • Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
  • Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
  • Experience:
    • 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
    • Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
    • Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
  • Technical Skills:
    • Strong programming skills in Python; familiarity with Rust or other languages is a plus.
    • Proficiency in designing and running RL experiments in simulated or real-world environments.
    • Experience with distributed training systems for reinforcement learning.
    • Solid understanding of policy gradient methods and reinforcement learning theory.
  • Soft Skills:
    • Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
    • Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
  • Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
  • Familiarity with OpenAI Gym, RLlib, or other RL development environments
  • Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
  • Remote work location.
  • Competitive salary.
  • Flexible work schedule.
  • Opportunities for professional development and research contributions
  • Access to state-of-the-art resources and tools for AI development.
  • The chance to work on groundbreaking projects with a talented and passionate team.

Apply