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Job Post Details
Reinforcement Learning Research Engineer – Exploration & Decision Intelligence (m/w/d) - job post
Lieu
Description du poste
Your mission
- Research and prototype novel RL algorithms (e.g. exploration, POMDPs, multi-agent systems)
- Translate theory into scalable systems with support from our engineering teams
- Design experiments to test RL methods in complex environments (simulated or real)
- Collaborate with simulation, autonomy and AI infrastructure teams
- Contribute to strategic thinking around intelligent behavior and decision architectures
Your profile
- Deep knowledge of RL theory: policy gradients, value iteration, Q-learning, etc.
- Experience with simulation-based learning and probabilistic models
- Python proficiency; strong math/stats foundation
- Publications at NeurIPS, ICLR, ICML, AISTATS, ECML, etc. are a plus
- You think rigorously and build practically
- Experience with game theory, bandits, transfer learning or meta-learning
Why us?
Join us to shape the future of AI-driven defense!
Do you feel that you fit the description, but don't think you fulfill all the criteria 100%? Apply to us anyway.
We look forward to receiving your detailed application via our online form.
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.