Senior RL Engineer – Remote, Production-Ready AI

Bright Vision Technologies; Overland Park (KS); Remote; USD 155,000 - 180,000; Full time

Job summary

Bright Vision Technologies is seeking a seasoned Machine Learning Engineer - RL to design, train, and deploy reinforcement learning systems for high-impact decision making. The role demands proficiency with modern RL algorithms, simulation environments, reward modeling, and scalable policy evaluation.

The ideal candidate will combine research depth with pragmatic engineering, delivering RL solutions from lab to production while ensuring stability, safety, and continuous improvement across

Qualifications

• 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.

Responsibilities

• Design, train, and deploy RL-based systems for high-impact decision-making problems.
• Work with simulation environments, reward modeling, and scalable evaluation of policies.
• Translate RL research into production-grade solutions emphasizing stability and safety.

Skills

Communication skills

RL research experience

Python programming

Deep learning frameworks

GPU training

Publication track record

Education

Master’s or PhD in CS/ML or related field

Tools

RL libraries (Stable Baselines / RLlib)

Python ML frameworks (PyTorch/TensorFlow)

GPU clusters

Job description

Bright Vision Technologies is seeking a seasoned Machine Learning Engineer - RL to design, train, and deploy reinforcement learning systems for high-impact decision making. The role demands proficiency with modern RL algorithms, simulation environments, reward modeling, and scalable policy evaluation.

The ideal candidate will combine research depth with pragmatic engineering, delivering RL solutions from lab to production while ensuring stability, safety, and continuous improvement across