Remote RL Architect for AI Learning Systems

Bright Vision Technologies; South Jordan, Draper (UT, UT); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Learning Systems Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning falls short. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and production-ready training pipelines.

The ideal candidate has 6+ years in RL research and engineering, strong Python and DL skills, hands-on RL library experience, and a proven

Qualifications

• Master’s or PhD in Computer Science, Machine Learning, or related field or equivalent 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 RL theory.
• Experience designing reward functions in complex environments.
• Familiarity with simulation environments and large-scale data collection.
• Experience training neural policies on GPU clusters.
• Strong written and verbal communication skills.
• Track record of shipping or publishing impactful RL work.

Responsibilities

• Design and implement reinforcement learning solutions for sequential decision-making in real and simulated environments.
• Develop, calibrate, and maintain simulation environments for large-scale agent training.
• Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL methods.
• Engineer reward functions and shaping strategies aligned with safety and outcomes.
• Apply offline RL and imitation learning where exploration is costly or unsafe.
• Use RLHF, DPO, and related techniques for fine-tuning LLMs when relevant.
• Build scalable training infrastructure for distributed RL with efficient data collection and replay.
• Optimize training stability and sample efficiency through engineering improvements.
• Design rigorous evaluation protocols including out-of-distribution and adversarial tests.

Skills

Python

Deep Learning

Reinforcement Learning

Policy Gradient

Research & Shipping RL

Education

Master’s or PhD in CS/ML

Tools

RL library

Job description

Bright Vision Technologies is seeking an AI Learning Systems Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning falls short. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and production-ready training pipelines.

The ideal candidate has 6+ years in RL research and engineering, strong Python and DL skills, hands-on RL library experience, and a proven