Conduct fundamental research into LLM calibration, hallucination reduction, and formal verification techniques for neural symbolic systems.
What you’ll do
- Collaborate with the founders to define and execute the LLM Reliability roadmap.
- Bridge the gap between cutting-edge research and production-grade reliability.
- Own a substantial part of the system, from first design to running in production.
Requirements
- PhD in CS, AI, Math or equivalent research experience.
- Publications in top-tier conferences (NeurIPS, ICML, ICLR).
- Deep understanding of transformer architectures and probabalistic logic.
LLM Reliability Scientist: Calibrations & Verification in London employer: Xybern
Xybern fosters a collaborative work culture where employees can directly engage with leadership and contribute to impactful AI projects. The company emphasizes professional development and offers opportunities to work on cutting-edge technologies in the AI space.
