Senior AI Research Scientist - Reinforcement Learning

A world-leading research institution based in Centurion, Gauteng is seeking an accomplished Senior AI Research Scientist to focus on Reinforcement Learning (RL). This role is dedicated to advancing the frontiers of RL theory and its practical applications in complex decision-making systems. You will lead ambitious research projects, design novel algorithms, and contribute to groundbreaking publications. The ideal candidate possesses a deep theoretical understanding of RL, combined with practical experience in implementing and evaluating RL agents.

This is an exceptional opportunity to work in a collaborative, intellectually stimulating environment at the cutting edge of AI research in South Africa
.

• Conduct cutting-edge research in Reinforcement Learning, exploring new algorithms, theoretical frameworks, and applications.
• Design, implement, and evaluate novel RL algorithms for complex sequential decision-making problems.
• Develop & manage research projects from conception to completion, including experimental design and data analysis.
• Publish research findings in top-tier AI conferences and journals.
• Collaborate with other researchers and engineers to translate theoretical advancements into practical solutions.
• Mentor junior researchers and interns, fostering a strong research culture.
• Stay abreast of the latest developments in AI, machine learning, and reinforcement learning.
• Contribute to the development of the research group's overall strategy and direction.
• Present research findings internally and externally.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Reinforcement Learning.
• Strong publication record in leading AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI).
• Deep theoretical understanding of Reinforcement Learning concepts, including value-based methods, policy gradient methods, and model-based RL.
• Proficiency in Python and experience with deep learning frameworks (e.g., Tensor Flow, PyTorch).
• Hands-on experience in implementing and experimenting with RL algorithms.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in a research team.
• Experience with simulation environments is a plus.

Our client offers a highly competitive salary, excellent benefits package, and opportunities for continuous learning and professional growth. Researchers have access to state-of-the-art computing resources and facilities in Centurion, Gauteng
. Additional benefits include generous leave, a research publication bonus, and support for attending international conferences. We foster a collaborative and intellectually stimulating environment dedicated to pushing the boundaries of AI.