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  Web3 Data Lake LLM

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  Trading System LLM

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  Compliance and Regulatory LLM

Responsibilities:

• 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 design—ETL 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: Master’s 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 paradigms—bonus if you’ve 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.