AI Research Scientist - Reinforcement Learning

Placements24; Upington; Hybride; ZAR 1 983 000 - 2 974 000; Plein temps

Avantages offerts par ce poste

Fully remote work

Research support

Conference travel support

Résumé du poste

Placements24 is seeking a brilliant AI Research Scientist specializing in Reinforcement Learning to work remotely in a cutting-edge research division. You will conduct foundational and applied RL research, publish in top venues, and apply findings to real-world control problems.

The role emphasizes collaboration with engineers, experimentation in simulations, and staying at the forefront of RL/ML trends while leveraging state-of-the-art compute resources.

Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Strong publication record in top-tier AI/ML conferences and journals.
• Deep theoretical understanding and practical experience in reinforcement learning algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic).
• Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.

Responsabilités

• Conduct cutting-edge research in reinforcement learning, developing new algorithms and theoretical frameworks.
• Design and implement experiments to test and validate RL algorithms using simulations and real-world data.
• Collaborate with engineers to integrate research prototypes into larger AI systems and products.
• Analyze and interpret experimental results, and communicate findings through publications, presentations, and internal reports.
• Stay current with the latest research trends in RL, machine learning, and related fields.

Connaissances

Reinforcement learning

Research ability

Python programming

Formation

PhD in Computer Science / AI / ML

Outils

TensorFlow

PyTorch

Description du poste

About the Role

Our client is looking for a brilliant AI Research Scientist specializing in Reinforcement Learning (RL) to join their innovative research division, working remotely. This role is at the cutting edge of AI & Emerging Technologies , focused on advancing the frontiers of autonomous decision-making and control systems. You will conduct foundational and applied research to develop novel RL algorithms and apply them to solve complex, real-world problems. This is an exceptional opportunity for a highly motivated researcher to contribute to groundbreaking advancements in AI and publish their work in leading scientific venues.

Key Responsibilities

• Conduct cutting-edge research in reinforcement learning, developing new algorithms and theoretical frameworks.
• Design and implement experiments to test and validate RL algorithms using simulations and real-world data.
• Collaborate with engineers to integrate research prototypes into larger AI systems and products.
• Analyze and interpret experimental results, and communicate findings through publications, presentations, and internal reports.
• Stay current with the latest research trends in RL, machine learning, and related fields.

Requirements

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• A strong publication record in top-tier AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI).
• Deep theoretical understanding and practical experience in reinforcement learning algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods).
• Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
• Experience with simulation environments or applying RL to complex control problems is highly desirable.

Benefits

• Industry-leading salary and comprehensive benefits package.
• Fully remote work opportunity, allowing for global collaboration and flexibility.
• Significant investment in research, with access to state-of-the‑art computational resources.
• Support for attending and presenting at leading international conferences.
• A highly stimulating research environment with opportunities for significant scientific impact.