Senior Reinforcement Learning Engineer (Remote)

Bright Vision Technologies; Flower Mound (TX); On-site; USD 155,000 - 180,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Job summary

Bright Vision Technologies is seeking a Machine Learning Engineer - RL to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role emphasizes production-grade stability, safety, and scalable training on GPU clusters.

The ideal candidate combines research depth with pragmatic engineering, has 6+ years in RL, is fluent in Python and modern DL frameworks, can design reward functions, and has shipped RL work to

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.

Skills

Python

Deep learning

RL theory

Communication

Production RL

Education

Master’s or PhD in CS/ML

Tools

RL libraries

In-house RL stack

Job description

Bright Vision Technologies is seeking a Machine Learning Engineer - RL to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role emphasizes production-grade stability, safety, and scalable training on GPU clusters.

The ideal candidate combines research depth with pragmatic engineering, has 6+ years in RL, is fluent in Python and modern DL frameworks, can design reward functions, and has shipped RL work to