Pioneer Talent Program - Research Data ScientistActive

The opportunity

We are seeking a Research Data Scientist who combines rigorous research thinking with a drive to see findings land in production.

What you'll do

  • 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

What they're looking for

  • 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
  • –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