Senior Reinforcement Learning Engineer
il y a 2 semaines
**Your mission**:
- Build, train and refine RL-based agents for real-world use (navigation, coordination, decision making)
- Collaborate with embedded teams to deploy models onto drones and other platforms
- Integrate perception, control and reward models into closed-loop systems
- Contribute to fast iteration loops based on field tests and real sensor data
- Work with simulation environments to test strategies before deployment
**Your profile**:
- Strong background in Machine Learning, Reinforcement Learning or Control Theory
- Hands-on experience with at least one RL framework (Ray RLlib, Stable Baselines, etc.)
- Understanding of system dynamics, robotics basics, or embedded deployment
- Python proficiency - C++ or ROS2 experience is a plus
- Curiosity, pragmatism, and readiness to make things work in imperfect real-world settings
Nice to have:
- Experience with SLAM, path planning, multi-agent coordination, or sensor fusion
**Why us?**:
Join us to shape the future of AI-driven defense
The world is changing. Exponential technologies are enabling new types of security threats. We are committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate developers who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.
**About us**:
We are a defence-tech start-up specializing in machine vision solutions. If you have a passion for cutting-edge innovation, and drive to use your skills to create next generation solutions, this is an opportunity for you
**What we do**: We are developing solutions that enable computers and sensors to collaborate as teams, working together to address emerging security challenges. Our primary mission is to defend against AI-powered asymmetric threats at scale, such as drone swarms and other UXVs.
**Who we are**: Based in Munich, Berlin and Toulouse we are rapidly expanding across Europe with plans to open more office hubs soon. We embrace a hybrid work culture - valuing the collaborations that happens in the office, while also empowering our team members to work remotely with responsibility and autonomy.
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