Web3 PHD Trading Jobs
| Job Title | Company Name | Salary | Location | Tags | Posted | |
|---|---|---|---|---|---|---|
| Binance | đź“Ť Asia | Web3ResearchDeveloper | 3w | |||
| Binance | đź“Ť Taiwan, Taipei / Asia / Hong Kong | Full TimePHDJunior Level | 2w | |||
| Binance | đź“Ť Hong Kong / Taiwan, Taipei / Australia, Sydney / Asia | Full TimeDataResearch | Today | |||
Past and filled jobs: | ||||||
| Binance | 30k-70k/year | đź“Ť Australia, Brisbane / Australia, Melbourne / Australia, Sydney / Taiwan, Taipei / Asia | Web3ResearchTrading | |||
| Binance | đź“Ť Taiwan, Taipei, South East Asia | Web3ResearchTrading | ||||
| Galaxy | đź“Ť London | Web3DeveloperTrading | ||||
| Galaxy | đź“Ť London | Web3DeveloperTrading | ||||
| Anchorage Digital | đź“Ť Singapore | Full TimeTradingEngineering | ||||
Aug 09, 2026
Calling top-tier AI and Web3 innovators from around the globe! Binance is building the world’s foremost crypto and Web3 platform—and we’re just getting started. We’re assembling a lean, elite LLM Algorithm & Data Science Team (3–5 members) to pioneer next-generation AI solutions in finance, blockchain, and beyond. If you’re young, passionate, and driven by cutting-edge research, this is your moment to make history. What You’ll Build: We’re not here to retrofit yesterday’s models—we’re here to invent tomorrow’s:-Web3 Data Lake LLMIngest and reason over massive on-chain and off-chain datasets to power real-time insights.-Trading System LLMDesign intelligent trading agents, signal generators, and strategy-optimization engines.-Compliance and Regulatory LLM Automate compliance, travel-rule enforcement, and on-chain forensics at scale..…and beyondFrom customer-service agents and personalized navigation experiences to completely new AI-powered Web3 applications.Your creations will underpin multiple internal products—customer support bots, trading-signal dashboards, compliance workflows, user-experience agents—while also bootstrapping entirely new AI-Web3 innovations.
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.