Reinforcement Learning Engineer

Job Summary

Seeking a skilled Reinforcement Learning Engineer for a full-time remote position, responsible for designing, training, and deploying RL-based systems to tackle high-impact decision-making problems using modern reinforcement learning algorithms and simulation environments.

Key Responsibilities

• Design and implement reinforcement learning solutions for sequential decision-making in real and simulated environments
• Develop and maintain simulation environments for large-scale agent training and optimize training stability
• Collaborate with applied scientists and product teams to identify high-value RL use cases and monitor deployed policies for performance issues

Required 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