Senior RL Engineer - Remote, Production-Scale

Bright Vision Technologies; Oregon; Hybrid; USD 80,000 - 100,000; Full time

Job summary

Bright Vision Technologies is seeking a RL Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems at scale. The role emphasizes moving research into production with a focus on stability, safety, and continuous improvement.

The ideal candidate has 6+ years of RL research and engineering experience, strong Python proficiency, and hands-on RL library experience. This is a 100% remote, direct W2 position within the United States.

Qualifications

• Master's or PhD in CS, ML, or related field or equivalent applied experience.
• Six+ years of 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 at scale.
• Translate research ideas into production-ready systems.
• Ensure stability, safety, and ongoing improvement of RL policies.
• Collaborate with teams across engineering and product.

Skills

Python

DL frameworks

RL libraries

Probability & optimization

Reward modeling

GPU training

Communication

Shipping RL work

Education

Master's/PhD in CS/ML

Tools

RL library stack

Job description

Bright Vision Technologies is seeking a RL Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems at scale. The role emphasizes moving research into production with a focus on stability, safety, and continuous improvement.

The ideal candidate has 6+ years of RL research and engineering experience, strong Python proficiency, and hands-on RL library experience. This is a 100% remote, direct W2 position within the United States.