AI Research Engineer - Reinforcement Learning(m/w/x)

Anforderungen

• Degree in Computer Science or related field
• PhD in NLP, Machine Learning, or related field
• Solid track record in AI R&D with good publications
• Proven experience with large-scale reinforcement learning experiments
• Experience with online RL techniques such as GRPO
• Deep understanding of reinforcement learning algorithms
• Expertise in enhancing policy stability, exploration, and sample efficiency
• Strong expertise in PyTorch and relevant RL frameworks
• Practical experience in developing RL pipelines
• Demonstrated ability to apply empirical research to RL challenges
• Proficiency in designing robust evaluation frameworks

Aufgaben

• Develop and implement advanced reinforcement learning algorithms
• Establish performance targets for reward maximization and policy stability
• Build, run, and monitor controlled reinforcement learning experiments
• Track key performance indicators and document results
• Identify and curate high-quality simulation environments and training datasets
• Set measurable criteria to enhance learning processes
• Debug and optimize the reinforcement learning pipeline
• Analyze computational efficiency and learning performance metrics
• Address issues like reward signal noise and policy divergence
• Collaborate with cross-functional teams to integrate reinforcement learning agents
• Define success metrics for real-world performance improvements
• Ensure continuous monitoring and iterative refinements

Berufserfahrung

Ausbildung

Sprachen

Tools & Technologien