Researcher in Application-Oriented Reinforcement Learning
• Mid-Level
• Hybrid
• Data
Mark status as:
✨ The Role in One Sentence
EnliteAI GmbH is seeking a Researcher in application-oriented Reinforcement Learning to apply cutting-edge research to real-world optimization and decision problems.
📋 What You'll Likely Do
30%: Contribute to building blocks and methodology based on the open-source framework Maze.
30%: Design and implement proof of concepts, develop prototypes in Python and PyTorch.
40%: Analyze industry-related optimization problems and translate them into Machine Learning systems.
🧑💻 Profiles Doing This Job
High Priority: Strong background in Reinforcement Learning and related Machine Learning disciplines.
High Priority: Excellent Python programming skills and knowledge of PyTorch.
High Priority: Degree in computer science (MSc or Ph.D.) or in a similar field.
📈 How This Role Will Look on Your CV
Applied cutting-edge research in AI and Reinforcement Learning to solve real-world optimization problems.