Remote RL Engineer: Scale & Deploy AI Systems

Bright Vision Technologies; Beaverton (OR); Remote; USD 80,000 - 100,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Job summary

Bright Vision Technologies is seeking an experienced RL Engineer for a 100% remote role in the U.S. The candidate will design, train, and deploy reinforcement learning-based systems for high-impact decisions, bringing research into scalable production with emphasis on stability and safety.

Ideal candidates have 6+ years in RL, strong Python and DL skills, experience with RL libraries, and a proven track record of impactful work.

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

Communication skills

Research & engineering

Education

Master’s or PhD in Computer Science or ML

Tools

RL library

In-house RL stack

GPU clusters

Job description

Bright Vision Technologies is seeking an experienced RL Engineer for a 100% remote role in the U.S. The candidate will design, train, and deploy reinforcement learning-based systems for high-impact decisions, bringing research into scalable production with emphasis on stability and safety.

Ideal candidates have 6+ years in RL, strong Python and DL skills, experience with RL libraries, and a proven track record of impactful work.