Senior RL Engineer – Robotics & Drone Systems

Technology Innovation Institute; United Arab Emirates; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading research institute in Abu Dhabi seeks a Senior Reinforcement Learning Engineer to develop innovative RL solutions for robotics and UAV systems. The role involves designing novel RL architectures, optimizing algorithms, and implementing efficient training pipelines. The ideal candidate will have a Master's or PhD in a relevant field and a strong background in multi-agent systems, with hands-on experience in real-world applications. This opportunity plays a crucial role in advancing technology innovations that impact society.

Qualifications

• Master’s or PhD in a relevant field.
• Track record in implementing RL algorithms.
• Proficient in multi-agent systems and swarm robotics.

Responsibilities

• Design and implement RL algorithms for robotics.
• Build and evaluate MARL frameworks for multi-drone systems.
• Implement training pipelines for RL simulations.

Skills

Reinforcement Learning Expertise

Policy-gradient methods

Q-learning

Actor-critic frameworks

Multi-Agent Reinforcement Learning

Federated learning

Simulation techniques

Education

Master’s or PhD in Computer Science, Robotics, AI/ML

Tools

Ray RLlib

Stable Baselines3

PyBullet

TensorFlow

PyTorch

Docker

Job description

A leading research institute in Abu Dhabi seeks a Senior Reinforcement Learning Engineer to develop innovative RL solutions for robotics and UAV systems. The role involves designing novel RL architectures, optimizing algorithms, and implementing efficient training pipelines. The ideal candidate will have a Master's or PhD in a relevant field and a strong background in multi-agent systems, with hands-on experience in real-world applications. This opportunity plays a crucial role in advancing technology innovations that impact society.