Remote RL Engineer — Build Scalable, Impactful AI

Bright Vision Technologies; United States; Remote; USD 96,000 - 120,000; Full time

Job summary

Bright Vision Technologies is seeking a highly experienced Reinforcement Learning Engineer for a 100% remote role in the United States. You will design, train, and deploy RL systems that address complex decision-making problems, bringing research depth into production environments with a focus on stability and scalability.

The ideal candidate has 8+ years of RL experience, advanced degrees, strong Python skills, and a track record of shipping impactful RL work, preferably with large-scale GPU

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

Reinforcement learning

RL libraries

Reward modeling

GPU training

Communication

Research experience

Education

Advanced degree in CS/ML

Tools

RL library

Job description

Bright Vision Technologies is seeking a highly experienced Reinforcement Learning Engineer for a 100% remote role in the United States. You will design, train, and deploy RL systems that address complex decision-making problems, bringing research depth into production environments with a focus on stability and scalability.

The ideal candidate has 8+ years of RL experience, advanced degrees, strong Python skills, and a track record of shipping impactful RL work, preferably with large-scale GPU