Reinforcement Learning Engineer

Job Summary

Reinforcement Learning Engineer, a full-time remote position requiring over six years of experience, is responsible for designing, training, and deploying reinforcement learning systems for complex decision-making problems.

Key Responsibilities

• Design and implement reinforcement learning solutions for decision-making problems in real and simulated environments
• Develop and maintain simulation environments for large-scale agent training
• Implement and evaluate modern reinforcement learning algorithms and optimize training stability

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 reinforcement learning research and engineering experience
• Strong proficiency in Python and modern deep learning frameworks
• Hands-on experience with major reinforcement learning libraries or in-house stacks
• Solid understanding of probability, optimization, and theoretical foundations of reinforcement learning