Reinforcement Learning Engineer

Job Summary

Seeking a skilled Reinforcement Learning Engineer for a full-time remote position to design, train, and deploy RL-based systems for complex decision-making problems while collaborating with cross-functional teams.

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 models for performance issues

Required Qualifications

• Master's or PhD in Computer Science, Machine Learning, or 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 major RL libraries or in-house RL stacks
• Solid understanding of probability, optimization, and the theoretical foundations of RL