Reinforcement Learning Robotics Engineer

Technology Innovation Institute; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading research institute in Abu Dhabi seeks a talented Reinforcement Learning Engineer to develop cutting-edge RL solutions for robotics, drone systems, and swarm intelligence. Ideal candidates will have a Master’s or PhD in Computer Science or a related field, with proven expertise in RL algorithm implementation and a strong grasp of multi-agent systems. You will be responsible for designing novel RL architectures and integrating advanced methodologies to tackle complex distributed control problems.

Qualifications

• Expertise in developing and deploying RL solutions for robotics.
• Proven track record of implementing RL algorithms for robotics or UAV applications.
• Strong understanding of multi-agent systems and swarm robotics.

Responsibilities

• Design, implement, and optimize RL algorithms for robotic platforms.
• Build and evaluate MARL frameworks for multi-drone systems.
• Implement efficient training pipelines for large-scale RL simulations.

Skills

Reinforcement Learning Expertise

Policy-gradient methods

Multi-Agent Reinforcement Learning (MARL)

Sim2real techniques

Problem-solving ability

Education

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

Tools

Ray RLlib

Stable Baselines3

PyTorch

TensorFlow

Docker

Job description

A leading research institute in Abu Dhabi seeks a talented Reinforcement Learning Engineer to develop cutting-edge RL solutions for robotics, drone systems, and swarm intelligence. Ideal candidates will have a Master’s or PhD in Computer Science or a related field, with proven expertise in RL algorithm implementation and a strong grasp of multi-agent systems. You will be responsible for designing novel RL architectures and integrating advanced methodologies to tackle complex distributed control problems.