Pioneer Talent Program - Research Data Scientist

About the role

As a Research Data Scientist at Binance, you will conduct original research in generative AI and large language models, specifically addressing challenges in the crypto and financial domains. You will design rigorous experiments and develop innovative methodologies to enhance agent reasoning quality in dynamic market conditions.

You will work within a collaborative environment alongside world-class talent, contributing to projects that require deep knowledge of machine learning and AI. Success in this role will involve applying state-of-the-art techniques to Binance's unique challenges and staying updated on developments in the research community.

The salary range for this role is competitive, between $150,000 and $200,000.

Skills that matter here

• Machine Learning: This role involves conducting research and developing methodologies in machine learning applied to financial markets.
• AI: You will focus on generative AI and large language models to solve crypto-related problems.
• Python: Proficiency in Python is essential for implementing models and conducting experiments.
• PyTorch: You will use PyTorch for model training and experimentation.

Who this role suits

• Candidates should have a strong academic background, preferably with a Master's or PhD in a related field.
• A collaborative mindset and the ability to work autonomously on fast-paced projects are important.
• You should be comfortable with rigorous mathematical concepts and have a solid foundation in machine learning methodologies.
• Bilingual proficiency in English and Mandarin is necessary for effective communication with international partners.

From the employer

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; critically, you 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.

Why Binance

• 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).