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Calling top-tier AI and Web3 innovators from around the globe! Binance is building the worlds foremost crypto and Web3 platformand were just getting started. Were assembling a lean, elite LLM Algorithm & Data Science Team (35 members) to pioneer next-generation AI solutions in finance, blockchain, and beyond. If youre young, passionate, and driven by cutting-edge research, this is your moment to make history. What Youll Build: Were not here to retrofit yesterdays modelswere here to invent tomorrows: -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 productscustomer support bots, trading-signal dashboards, compliance workflows, user-experience agentswhile 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 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.