Senior AI Researcher- Reinforcement learning (f/m/d)

We're looking for an AI Researcher who combines a deep theoretical understanding of reinforcement learning methods with a desire to improve on the state of the art and improve model capabilities in large-scale training. As a senior AI Researcher for reinforcement learning, you will shape and improve the underlying RL methodology, maintain a high-quality training code-base, and conduct large-scale experiments to hill-climb our performance benchmarks.

Requirements

• Deep understanding of Reinforcement Learning theory and how it relates to modern RL methods.
• Experience with multi-node LLM training (ideally using RL).
• Familiarity with statistical methods for evaluation and experiment design.
• Strong Python skills and comfort with ML tooling (especially torch distributed).
• Willingness to relocate to Heidelberg or travel regularly (potentially weekly)

Benefits

• 30 days of paid vacation
• Access to a variety of fitness & wellness offerings via Wellhub
• Mental health support through nilo.health
• Substantially subsidized company pension plan for your future security
• Subsidized Germany-wide transportation ticket
• Budget for additional technical equipment
• Flexible working hours for better work-life balance and hybrid working model
• Virtual Stock Option Plan
• JobRad Bike Lease