MARL Robotics Intern: Multi-Agent Orchestration

Laelaps AI Ltd.; Zürich; Hybrid; CHF 20,000 - 31,000; Full time

Job summary

Laelaps AI Ltd. in Zurich is seeking a Software Engineering Intern in Multi-Agent Orchestration to develop the orchestration layer for autonomous agents coordinating in surveillance tasks.

You will focus on Multi-Agent Reinforcement Learning, exploring coordination strategies and decentralized planning, with opportunities to deploy in real-world robot systems. You’ll work closely with PhD-level co-founders in AI, Robotics, and Physics within an international founding team at a fast-moving

Qualifications

• Currently in the final stages of a Master's degree or pursuing a PhD in Computer Science, Robotics, Artificial Intelligence, or a related field.
• Demonstrated hands-on experience with Reinforcement Learning, backed by academic, personal, or research projects.
• Experience with robotics simulators such as Isaac Sim, MuJoCo, or Gazebo or custom built simulators.
• Solid understanding of reinforcement learning algorithms and concepts.
• Ability to independently research, implement, and evaluate algorithms.
• Good coding skills in Python, with PyTorch (or JAX).

Responsibilities

• Multi-Agent Reinforcement Learning: Design, train, and evaluate MARL algorithms for cooperative multi-robot surveillance and persistent patrolling.
• Multi-Robot Coordination: Develop strategies for decentralized decision-making, task allocation, and efficient collaboration between autonomous robots.
• Simulation: Improve our simulations to train the policies that can be later transferred to the real world.
• Real-World Deployment: Build and test algorithms in simulation environments, with opportunities to deploy them on real quadruped robots.
• Algorithm Research & Optimization: Explore learning-based approaches with classical methods.
• Performance Evaluation: Develop benchmarks to assess surveillance coverage, patrol efficiency, scalability, and robustness in dynamic environments.

Skills

Reinforcement Learning

Research & experimentation

Independent research

Education

Master's/PhD in CS/Robotics/AI

Tools

Isaac Sim

MuJoCo

Gazebo

PyTorch

JAX

Python

ROS 2

Job description

Laelaps AI Ltd. in Zurich is seeking a Software Engineering Intern in Multi-Agent Orchestration to develop the orchestration layer for autonomous agents coordinating in surveillance tasks.

You will focus on Multi-Agent Reinforcement Learning, exploring coordination strategies and decentralized planning, with opportunities to deploy in real-world robot systems. You’ll work closely with PhD-level co-founders in AI, Robotics, and Physics within an international founding team at a fast-moving