Design and implement advanced reasoning architectures for large language models. Focus on multi-path analysis, self-verification, and domain-grade reliability.
What you’ll do
Collaborate with the founders to define and execute the Reasoning & Agents 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
Experience with PyTorch or JAX and LLM frameworks.
Strong background in neural-symbolic reasoning or formal methods.
Track record of deploying mission-critical ML systems.
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