Pioneer Talent Program - Research Data Scientist

Role Description

We are seeking a Research Data Scientist who combines rigorous research thinking with a drive to see findings land in production. You will conduct original research in generative AI and LLMs applied to crypto-native problems — spanning reasoning under uncertainty, agent reliability in adversarial financial environments, and multi-modal market intelligence.

This is a research-first role at the intersection of three critical frontiers:

• Post-training alignment and reasoning for financial agents
• Efficient inference and test-time scaling
• Multi-agent coordination in open, adversarial environments

The goal is real-world impact — not just papers, but agents that trade, analyze, and act for millions of users.

You formulate research questions, design rigorous experiments, build evaluation frameworks, and collaborate with engineers to bring research into production.

Responsibilities

• Conduct original research in generative AI and large language models applied to crypto and financial domains — with focus areas including 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, and crypto-adjacent venues — identifying high-leverage opportunities to apply state-of-the-art techniques to Binance's unique challenges

Qualifications

• Master's or PhD in Machine Learning, Computer Science, Mathematics, Statistics, or related field strongly preferred; 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 the shift from RLHF toward RLVR-based reasoning model training
• Proficiency in Python and PyTorch; work in an AI-native way — using vibe coding practices with tools like Claude Code, Cursor, or Copilot Workspace as your primary development workflow
• Rigorous mathematical foundations: linear algebra, probability theory, information theory, stochastic processes, and numerical optimization
• Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders

Benefits

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)