Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning
Are you passionate about advancing the frontiers of reinforcement learning (RL) ? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques—especially where they intersect with large models and environment generation.
About the Role
As an AI Research Scientist focused on RL, you will :
- Develop novel optimization-based methods for automated RL environment generation
- Establish baselines for evaluating the quality and diversity of RL environments
- Design infrastructure to create dynamic environments from historical datasets and agent evaluations
- Drive your own research agenda , contributing directly to the progress of our platform and the broader AI community
What We’re Looking For
PhD (or equivalent experience) in machine learning, computer science or a related fieldStrong publication record and / or evidence of research impact (open source, deployed systems, etc.)Deep expertise in reinforcement learning and machine learning fundamentalsProficient in Python and at least one modern ML framework (such as PyTorch or JAX)Bonus Points
Experience with post-training large language models (LLMs)Demonstrated software engineering skillsAbility to communicate research findings effectively to both technical and non-technical audiences