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Reinforcement Learning and Adaptive Controls Expert (m/f/d)

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Remote

Reinforcement Learning and Adaptive Controls Expert (m/f/d)

Körber

Reinforcement Learning and Adaptive Controls Expert (m/f/d)

Skills

Deep LearningDockerPythonPyTorchTensorFlowAILinux

2 months ago

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Important information


Contract type:

Permanent

Location:

4470 Maia, Portugal

Work mode:

Remote

Published on:

20 August 2026

What they need


We are seeking an experienced and innovative Reinforcement Learning & Adaptive Controls Expert to join our Robotics & Autonomous Systems team and develop advanced control software for industrial machines and automation systems. In this role, you will work on cutting-edge solutions leveraging reinforcement learning, model predictive control, machine vision, and Physical AI technologies to optimize machine performance and enable intelligent decision-making in dynamic industrial environments.

Your Role

  • Develop and implement advanced control methods using reinforcement learning, model predictive control (MPC), and optimization techniques for industrial automation systems.
  • Design, develop, and validate software for industrial machine control in simulation, software-in-the-loop, and real-time environments.
  • Integrate control, learning, and vision-based models into machine software to enable robust deployment from simulation to real-world applications.
  • Research and evaluate emerging technologies and methodologies in reinforcement learning, machine vision, adaptive control systems, and sim-to-real transfer.
  • Collaborate with interdisciplinary teams across machine control, system architecture, robotics, and mechatronics to deliver innovative solutions.
  • Contribute to the development of next-generation Physical AI solutions for industrial automation and material handling systems.
  • Support testing, validation, deployment, and continuous improvement of intelligent control applications.

Your Profile

  • Master's, or PhD degree in Computer Science, Mathematics, Physics, Electrical Engineering, Control Engineering, Automation Engineering, or a related field.
  • At least 5 years of experience in Reinforcement Learning, Model Predictive Control, Machine Vision, Intelligent Control Systems, or related domains.
  • Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with simulation platforms such as Nvidia Isaac Sim/Lab, MuJoCo, Unity, or similar environments.
  • Hands-on programming skills in Python and C++.
  • Understanding of control software architectures, optimization algorithms, and real-time machine interfaces.
  • Familiarity with Linux, Git, and Docker is considered an asset.
  • Strong analytical thinking and problem-solving abilities with a structured, result-oriented approach.
  • Excellent communication and collaboration skills, with the ability to explain complex technical topics to diverse stakeholders.
  • Fluent English skills, both written and spoken.
  • Willingness to travel occasionally (25%) for collaboration with international teams, partners, and customers.

Your Working Environment At Körber At the heart of every solution, every success, is a team of dedicated professionals willing to help each other while bringing creativity and energy to every project. Körber Supply Chain is the embodiment of this. Home to hundreds of the best minds in the industry, spanning technology for warehousing, logistics, transportation, and more, you’ll work with some of the biggest brands in the world and empower smaller players to disrupt the market — maybe even change the world. Turn your passion into a fulfilling career with Körber Supply Chain!

Your Benefits

  • Exciting tasks in a fast-growing, future-oriented industry player.
  • Competitive salary package, with extra-days off, including your birthday, flexible working hours and remote work option.
  • Health insurance for the whole family.
  • Well-Being and Employee Assistance Program.
  • Active protocols with external partners and other caring perks (ex: fresh fruit, bread and yogurt).
  • A pleasant and collaborative working atmosphere.

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