Senior Researcher - Self-Evolving Agentic Systems

About the role

AI agents are moving beyond fixed prompts and static policies. They can now plan, use tools, write code, and work across long, multi-step tasks. However, most agents still cannot continuously improve through their own experience, learn from failures, or adapt while operating.

What you'll do

• As a Senior Researcher – Self-Evolving Agentic Systems , you will advance the state of the art in how LLM-based agents learn and adapt
• Work across the full stack, from designing reinforcement learning algorithms and reward signals to building environments and evaluations and translating research ideas…
• Are passionate about advancing the state of the art in reinforcement learning, LLM post-training, and autonomous agents
• Thrive in a highly collaborative research environment
• Take end-to-end ownership of complex, open-ended research problems

What you need

• 1–4 years in data science & ai
• Machine learning
• LLMs
• Prototyping
• PhD