Binance - Pioneer Talent Program - Research Data Scientist (APAC Remote)
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
Responsibilities
• Conduct original research in generative AI and large language models applied to crypto and financial domains — focus areas include reasoning under market uncertainty, alignment of trading agents, multi-agent coordination, and test-time scaling for time-critical decisions • Design and execute rigorous experiments — formulating clear hypotheses, implementing model and training variants including RLVR-based reasoning approaches, running systematic ablations, and drawing statistically sound conclusions • Develop novel post-training methodologies and evaluation frameworks for LLMs operating in crypto contexts — covering chain-of-thought quality for market analysis, agent decision consistency, and robustness against adversarial prompt injection • Research test-time scaling techniques — process reward models, self-consistency, Monte Carlo Tree Search-based planning — and apply them to improve agent reasoning quality in ambiguous, fast-moving market conditions • Critically track developments across the research community at NeurIPS, ICML, ICLR, ACL, EMNLP, and crypto-adjacent venues — identifying high-leverage opportunities to apply state-of-the-art techniques to Binance's unique challenges
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)
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT