Binance is hiring a Senior Large Language Model Algorithm Engineer/Expert in Engineering — Asia. The overview below is synthesized from the employer posting on jobs.lever.co: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
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.
What You’ll Build
We’re not here to retrofit yesterday’s models—we’re here to invent tomorrow’s:
- Web3 Data Lake LLM
Ingest and reason over massive on-chain and off-chain datasets to power real-time insights.
- Trading System LLM
Design 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 beyond
From 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.
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.
What You’ll Build
We’re not here to retrofit yesterday’s models—we’re here to invent tomorrow’s:
- Web3 Data Lake LLM
Ingest and reason over massive on-chain and off-chain datasets to power real-time insights.
- Trading System LLM
Design 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 beyond
From 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
Day-to-day scope for the Senior Large Language Model Algorithm Engineer/Expert as described in the posting:
- 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
Experience and skills the team lists as required:
- 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.
Build a standout application
For the Senior Large Language Model Algorithm Engineer/Expert at Binance, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.
Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.
In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it. Add links to public work, keep formatting scannable, and close with a clear ask. Hiring managers skim — make impact obvious in the first half-page.
Career growth in Web3 rewards continuous learning. Follow protocol changelogs, practice with testnets, and contribute to open issues. Small, consistent contributions compound into credibility more than one-off credentials.