RL Robotics Engineer — Drones & Multi-Agent Systems
Technology Innovation Institute
United Arab Emirates
On-site
AED 110,172 - 183,621
Full time
14 days+
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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.