Pioneer Talent Program - Research Data Scientist (APAC Remote)
Core
Conduct original research in generative AI and large language models applied to crypto and financial domains, focusing on reasoning under market uncertainty, multi-agent coordination, and test-time scaling for trading agents.
Role type
Research Data Scientist (LLM/Agent Research)
Builds
AI agents that trade, analyze, and act for millions of users across the Binance ecosystem
Domain
Cryptocurrency and Financial Services
Deliverable
production ML models
Required skills
Transformer architectures, Large Language Model pretraining dynamics, Post-training methodology (RLHF, RLVR), Python, PyTorch, Linear algebra, Probability theory, Information theory, Stochastic optimization, Reward function design, Training pipeline design, Evaluation framework design
Preferred skills
First-author publications at top-tier AI/ML conferences, Research or engineering experience at a top-tier AI lab, AI-native development workflow (Claude Code, Cursor, Copilot Workspace)
Technologies
PyTorch, Python, RLHF, RLVR, Monte Carlo Tree Search, Process Reward Models
Responsibilities
Conduct original research in generative AI and LLMs for crypto/finance; Design and execute rigorous experiments with model variants and ablations; Develop novel post-training methodologies and evaluation frameworks; Research test-time scaling techniques; Track developments across the research community at top-tier conferences
Seniority
Mid-level Researcher (0-5 years experience)
