Pioneer Talent Program - Research Data Scientist

Binance; Dubai; Remote; AED 240,000 - 420,000; Full time

Benefits offered by this job

Remote-first

Competitive compensation

Career growth opportunities

Shape future of finance

Top talent collaboration

Job summary

Binance seeks a Research Data Scientist who combines rigorous research with production impact, focusing on post-training alignment, reasoning, and test-time scaling for AI agents in adversarial financial environments.

You will push boundaries of what AI agents can do—reasoning under market uncertainty and coordinating with other agents for millions of users across the Binance ecosystem.

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 and LLM pretraining dynamics
• Proficiency in Python and PyTorch
• Rigorous mathematical foundations: linear algebra, probability, information theory, stochastic optimization
• Bilingual English/Mandarin to coordinate with overseas partners

Responsibilities

• Conduct original research in generative AI and large language models for crypto and finance
• Design and run rigorous experiments with hypotheses, variants, and ablations
• Develop post-training methodologies and evaluation frameworks for LLMs in crypto contexts
• Research test-time scaling techniques to improve agent reasoning in fast markets
• Track NeurIPS/ICML/ICLR/ACL/EMNLP and crypto venues for applicable insights

Skills

Transformer architectures

Python

PyTorch

English Mandarin bilingual

First-author publications

Research/engineering at top AI lab

Reward function design

RLHF / RLVR reasoning

AI-native development tools

Education

Master's degree in ML/CS/Math/Statistics

PhD in ML/CS/Math/Statistics

Tools

Claude Code

Cursor

Copilot Workspace

Job description

Job Description:

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

About The Role

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

This is a research-first role at the intersection of post-training alignment & reasoning, efficient inference and test-time scaling, and multi-agent coordination in adversarial financial environments.

You will conduct original research that pushes the boundaries of what AI agents can do - reasoning under market uncertainty, coordinating with other agents in open adversarial settings, and making reliable decisions when real value is at stake. The goal is real-world impact: agents that trade, analyze, and act for millions of users across the Binance ecosystem.

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

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

Why Binance

• 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)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but not replace human judgment. Final hiring decisions are ultimately made by humans. If you would want more information ...