Remote-First Research Data Scientist: AI for Crypto Markets

Binance; Abu Dhabi; Remote; AED 350,000 - 600,000; Full time

Benefits offered by this job

Remote-first

Competitive salary and benefits

Job summary

Binance seeks a Research Data Scientist to push the boundaries of AI agents in crypto markets and production systems. You will research reasoning under market uncertainty, agent coordination, and test-time scaling to impact millions of users.

Requirements include advanced degrees in ML/CS, strong Python/PyTorch skills, and publications in top AI conferences. Remote-first role with global collaboration opportunities and competitive compensation.

Qualifications

• 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, LLM 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 on LLM/Agent topics
• 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
• AI-native development workflow — using 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, running ablations, and drawing sound conclusions
• Develop novel post-training methodologies and evaluation frameworks for LLMs in crypto contexts — covering chain-of-thought quality and agent decision consistency
• Research test-time scaling techniques — process reward models, self-consistency, Monte Carlo Tree Search-based planning
• Track developments across NeurIPS, ICML, ICLR, ACL, EMNLP and crypto venues; identify opportunities to apply state-of-the-art techniques to Binance's challenges

Skills

Python

PyTorch

Mathematical foundations

Bilingual English/Mandarin

Research publications

RLHF/RLVR concepts

LLM/Agent knowledge

Research labs experience

Reward function design

AI development workflow tools

Education

Master's or PhD in ML/CS/Math/Stats

Bachelor's with demonstrable research output

Tools

Claude Code

Cursor

Copilot Workspace

Job description

Binance seeks a Research Data Scientist to push the boundaries of AI agents in crypto markets and production systems. You will research reasoning under market uncertainty, agent coordination, and test-time scaling to impact millions of users.

Requirements include advanced degrees in ML/CS, strong Python/PyTorch skills, and publications in top AI conferences. Remote-first role with global collaboration opportunities and competitive compensation.