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# Reinforcement Learning Engineer

- **Company:** Bright Vision Technologies
- **Location:** Campton Hills, IL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $96,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Cloud Computing, Computer Clusters, Python (Programming Language), Machine Learning, Software Engineering, Reinforcement Learning, Supervised Learning, Large Language Models, Multi-Agent Systems, Deep Learning, Information Technology, Free and Open-Source Software
- **Published:** October 22, 2026
- **Apply:** https://www.careerbuilder.com/job-details/reinforcement-learning-engineer-schaumburg-il--5f73d969-4a21-4d58-b5c5-f42358dfbf90

## About the Role

Reinforcement Learning, Software Development, Artificial Intelligence (AI), Consulting, Cloud Computing, High Tech Industry, Reinforcement Learning, EAD, Policy Evaluation, Simulation, Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position., * Master's or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience.

 * Six or more years of combined RL research and engineering experience.
 * Strong proficiency in Python and modern deep learning frameworks.
 * Hands-on experience with at least one major RL library or in-house RL stack.
 * Solid understanding of probability, optimization, and the theoretical foundations of RL.
 * Experience designing and tuning reward functions in non-trivial environments.
 * Familiarity with simulation environments and large-scale experience collection.
 * Experience training neural network policies on GPU clusters.
 * Strong written and verbal communication skills.
 * Track record of shipping or publishing impactful RL work.

Preferred Qualifications

 * Experience with RLHF for large language models.
 * Familiarity with multi-agent RL or hierarchical RL.
 * Exposure to robotics, control systems, or autonomous driving.
 * Publications in RL or related research venues.
 * Open-source contributions to RL libraries or environments.

## Description

We are looking for a Reinforcement Learning Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical.