AI Research Scientist - Reinforcement Learning

About the Role

Our client is looking for a pioneering AI Research Scientist specializing in Reinforcement Learning to join their advanced research division in Bloemfontein. This role involves pushing the boundaries of AI through the development of novel RL algorithms and their application to complex decision-making problems. You will be instrumental in creating intelligent agents capable of learning and adapting in dynamic environments, contributing to breakthroughs in areas like robotics, autonomous systems, and game AI.

This position offers a unique opportunity to conduct high-impact research within a collaborative and intellectually stimulating environment, shaping the future of AI from a research perspective.

• Conduct cutting-edge research in reinforcement learning, developing new algorithms and frameworks.
• Design and implement RL agents for complex problem domains.
• Analyze and evaluate the performance of RL models through simulations and real-world experiments.
• Publish research findings in leading AI journals and conferences.
• Collaborate with engineering teams to translate research prototypes into production-ready systems.

• PhD in Computer Science, AI, Robotics, or a related field with a strong focus on Reinforcement Learning.
• Demonstrated experience in designing and implementing advanced RL algorithms.
• Proficiency in Python and ML/RL libraries (e.g., Ray RLlib, Stable Baselines).
• Strong theoretical understanding of Markov Decision Processes and deep RL.
• Experience with simulation environments and performance evaluation is essential for this role in Bloemfontein.

• Highly competitive salary, research grants, and publication bonuses.
• Fully remote work arrangement offering global flexibility.
• Access to significant computational resources for research.
• Opportunities for patenting and commercializing novel AI research.
• A stimulating research environment with leading experts in AI.