LLM Data Scientist/Algorithm Engineer – Top Talent Program

🔥 49 minutes ago

🌐 Singapore, Australia, +3 more countries – Remote

infoinfo

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🗣️🇨🇳 Chinese Required

Where this job comes from

Posted on Binance's careers page, not through a job board

First seen by Remote Rocketship 49 minutes ago

Still open on Binance's site. Checked 2 minutes ago.

Logo of Binance

Binance

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

Crypto • Fintech

Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.

📋 Description

• Own the full LLM pipeline from data preparation to production real-case usage • Design, iterate, and optimize prompts across products and languages • Build and maintain Retrieval-Augmented Generation QA/search systems connected to multi-source knowledge bases • Deploy and operate LLM services using vLLM/SGLang inference architectures on multi-GPU or cluster environments • Design, implement, and operate multi-agent LLM architectures using frameworks such as LangGraph, CrewAI, and AutoGen • Develop evaluation pipelines using automatic metrics and human feedback to measure prompt and model quality, bias, and hallucination rates • Collaborate with product and customer service teams to integrate AI models into conversational chatbots • Track cutting-edge research, author technical blogs, and improve current architecture

🎯 Requirements

• Master’s Degree or higher in Computer Science, Data Science or related field • At least 2 years of deep-learning/NLP experience • 1+ year practical LLM work, including SFT, DPO, RAG, quantization, or inference optimization • Demonstrated prompt engineering and tuning expertise, including few-shot design, structured prompting, prefix-/p-tuning, reward re-ranking, and safety filtering • Practical experience building and deploying multi-agent LLM workflows • Understanding of agent-orchestrator patterns, shared memory, long-horizon planning, and guard-rail design • Proficient in both English and Chinese communication

🏖️ Benefits

• Competitive salary and company benefits • Remote-first, work-from-home arrangement • Opportunities for career growth and continuous learning • Autonomy in a fast-paced and innovative environment • Collaboration with world-class talent in a user-centric global organization • Results-driven workplace • Opportunity to shape the future of finance

Apply Now

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