Reinforcement Learning Research Engineer
il y a 1 semaine
**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
Nice to have:
- Experience with game theory, bandits, transfer learning or meta-learning
**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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