- Opportunity to work on a new solution from scratch in a technical complex environment
- Work in an international, agile, cross-functional team creating the future of autonomous systems
- Grow your career in a expanding and ambitious engineering team
- Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy
- Benefit from a steep learning curve and continuous development
- Enjoy team events and a strong, collaborative culture
Reinforcement Learning Research Engineer – Exploration & Decision Intelligence (m/w/d)
Munich (DEU)
Full-time
Permanent employee
What we offer
Your mission
Build real autonomous systems that operate in the real world, not in the lab.
Join our engineering team of a new product and help build the core autonomy that powers our next generation robotic systems used for defense and mission-critical operations. You will design, implement, and harden robotic software that must perform under real operational conditions - outdoors, under uncertainty, with real consequences. Your work will directly shape the reliability, safety, and tactical capability of the systems we deliver.
- Research and prototype novel RL algorithms (e.g. exploration, POMDPs, multi-agent systems)
- Define, design and implement use-cases for DRL on edge devices
- Translate theory into scalable systems with support from our engineering teams
- Collaborate with simulation, autonomy and AI infrastructure teams
- Develop decision-making for intelligent behavior and architectures
Your profile
- Deep knowledge of RL theory and practice: policy gradients, value iteration, Q-learning, etc.
- Experience with ML training in physics based simulation (Gazebo, IsaacSim, Mujoco, Carla, etc.).
- Strong Programming proficiency (Python, C/C++).
- Comfortable with ML tooling and maintaining ML pipelines (Pytorch Lightning, MlFlow, etc.).
- Have experience with deploying ML methods to physical devices.
- Experience with version control (git).
- Familiarity with statistics, evaluation methods and experiment design.
- You think rigorously and build practically.
Nice to have
- PhD in Reinforcement Learning, Robot Engineering or equivalent with experience in deploying developed methods to real robots.
- OR masters degree in relevant field with extensive experience in RL.
- Experience with sensor based end-to-end ML architectures.
- Familiar with Transformers, Attention, Graphs, VLAs and other modern day ML building blocks.
- Publications at NeurIPS, ICLR, ICML, ICRA, IROS, etc. are a plus
- Experience with robotics middleware (ISAAC, ROS/ROS2, etc.)
Why us?
- Willingness to travel
- Citizenship of NATO member country or closed allied are mandatory
About us
The world is changing. Exponential technologies are enabling new types of security threats. ATS is committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate team members who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.
Who we are: Autonomous Teaming is a defence-tech start-up specializing in machine vision solutions. Driven by cutting-edge innovation, our team works on next-generation technologies designed to meet rapidly evolving security challenges.
What we do: We develop systems that enable computers and sensors to operate as coordinated teams, collaborating in real time to counter AI-powered asymmetric threats at scale — including drone swarms and other UXVs. Our mission is to build resilient, intelligent defence capabilities that perform reliably in the most demanding environments.
How we work: We value close, in-person collaboration as the foundation for building complex, high-impact technology, while maintaining flexibility aligned to role and team needs. Our culture is built on ownership, responsibility, and trust — with a shared commitment to growing and building together.
Where we are: Based in Munich, Berlin, and Toulouse, we are expanding rapidly across Europe with plans to open additional office hubs.