01Responsibilities
Model R&D: Architect and train custom foundation LLMs optimized for trading, compliance, and Web3 data.Agent Development: Build next-gen multi-agent systems that blend search, RL, and LLM reasoning for real-world tasks.Data Engineering: Collaborate on Web3 data-lake designETL pipelines, vector stores, real-time feeds.Cross-Functional Impact: Partner with product, compliance, and customer-support teams to deploy models in production.Innovation Pipeline: Surface new AI-Web3 use cases, prototype MVPs, and shepherd them toward scale.Requirement:
Academic Excellence: Masters or PhD in ML, AI, Computer Science, Mathematics, or related field.Research Prodigy: Published in top conferences/journals (ICLR, NeurIPS, ACL, etc.) on foundational LLMs, agent frameworks, or reasoning architectures.Reinforcement & Reasoning: Deep expertise in reinforcement learning, reasoning algorithms, or related paradigmsbonus if youve built or extended agentic frameworks.Polyglot Coder: Fluent in Python; experience with PyTorch, TensorFlow, JAX, or similar. You can prototype new model architectures end-to-end.Crypto & Web3 Curious: Enthusiasm for finance engineering, blockchain protocols, on-chain data, DeFi mechanics, or regulatory landscapes. .
