Research Data Scientist – APAC

🔥 50 minutes ago

🌐 Hong Kong, Singapore, +1 more countries – Remote

🇭🇰 Hong Kong – Remote 🇸🇬 Singapore – Remote 🇹🇼 Taiwan – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

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Binance

WebsiteLinkedInAll Job Openings

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

• Conduct original research in generative AI and large language models applied to crypto and financial domains, focusing on reasoning under market uncertainty, alignment of trading agents, multi-agent coordination, and test-time scaling • Design and execute rigorous experiments, including hypothesis formulation, model and training variants, RLVR-based reasoning approaches, systematic ablations, and statistically sound conclusions • Develop novel post-training methodologies and evaluation frameworks for LLMs operating in crypto contexts • Evaluate chain-of-thought quality for market analysis, agent decision consistency, and robustness against adversarial prompt injection • Research test-time scaling techniques including process reward models, self-consistency, and Monte Carlo Tree Search-based planning • Apply research techniques to improve agent reasoning quality in ambiguous, fast-moving market conditions • Track developments across NeurIPS, ICML, ICLR, ACL, EMNLP, and crypto-adjacent research venues • Identify opportunities to apply state-of-the-art techniques to Binance's challenges

🎯 Requirements

• Master's or PhD in Machine Learning, Computer Science, Mathematics, Statistics, or related field; exceptional Bachelor's candidates with demonstrable research output will be considered • 0–5 years of research or industry experience in ML/AI; strong academic lab or research internship experience equally valued • Deep understanding of transformer architectures, large language model pretraining dynamics, and post-training methodology — including RLHF, RLVR-based reasoning model training, and alignment techniques • Proficiency in Python and PyTorch • Rigorous mathematical foundations: linear algebra, probability theory, information theory, stochastic optimization • Bilingual English/Mandarin to coordinate with overseas partners and stakeholders • First-author publications at top-tier AI/ML conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI) on LLM/Agent core topics — reasoning, multi-agent systems, RL for LLMs, post-training, agent memory, or related areas • Research or engineering experience at a top-tier AI lab or team • Experience designing reward functions, training pipelines, or evaluation frameworks for LLM-based agents — not just using existing APIs but building the core systems • AI-native development workflow — using tools like Claude Code, Cursor, or Copilot Workspace as your primary development environment

🏖️ Benefits

• Shape the future of finance • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

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