RL Robotics Engineer — Drones & Multi-Agent Systems

Technology Innovation Institute; United Arab Emirates; On-site; AED 110,172 - 183,621; Full time

Job summary

Technology Innovation Institute in Abu Dhabi is seeking a talented Reinforcement Learning Engineer to develop and deploy RL solutions for robotics, swarm intelligence, and drone systems. The ideal candidate will hold a Master’s or PhD in a relevant field and have expertise in RL algorithm implementation. Responsibilities include designing RL architectures and engineering scalable systems for complex control challenges. Familiarity with tools such as PyTorch and C++ is essential, alongside experience with multi-agent systems.

Qualifications

• Proven track record of implementing RL algorithms for robotics or UAV applications.
• Strong expertise in multi-agent systems, swarm robotics, and real-world control.
• Experience bridging simulation and real-world deployment.

Responsibilities

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

Skills

Reinforcement Learning Expertise

Multi-Agent Reinforcement Learning

Python

C++

Docker

Education

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

Tools

Ray RLlib

Stable Baselines3

PyTorch

TensorFlow

Job description

Technology Innovation Institute in Abu Dhabi is seeking a talented Reinforcement Learning Engineer to develop and deploy RL solutions for robotics, swarm intelligence, and drone systems. The ideal candidate will hold a Master’s or PhD in a relevant field and have expertise in RL algorithm implementation. Responsibilities include designing RL architectures and engineering scalable systems for complex control challenges. Familiarity with tools such as PyTorch and C++ is essential, alongside experience with multi-agent systems.