Pioneer Talent Program - Research Data Scientist

Binance; Hong Kong; Hybrid; HKD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Company benefits

Work-from-home arrangement

Job summary

Binance is looking for a Research Data Scientist to pioneer research in generative AI and large language models applied to the crypto and financial sectors. This role emphasizes original research that leads to real-world applications, focusing on reasoning under market uncertainty and agent coordination. Ideal candidates should possess a Master’s or PhD in a relevant field, with 0–5 years of research experience, strong Python and PyTorch skills, and bilingual proficiency in English and Mandarin. Competitive salary and work-from-home options offered.

Qualifications

• Master's or PhD in a relevant field strongly preferred; exceptional Bachelor's candidates will be considered.
• 0–5 years of research or industry experience in ML/AI.
• Deep understanding of transformer architectures and large language models.

Responsibilities

• Conduct original research in generative AI and large language models.
• Design and execute rigorous experiments to test hypotheses.
• Develop novel methodologies for LLMs in crypto contexts.

Skills

Research experience in ML/AI

Proficiency in Python

Proficiency in PyTorch

Bilingual English/Mandarin

Deep understanding of transformer architectures

Education

Master's or PhD in Machine Learning, Computer Science, Mathematics, Statistics

Job description

Who May Apply

Candidates with up to 5 years of relevant work experience.

About the Role

We are seeking a Research Data Scientist who combines rigorous research thinking with a drive to see findings land in production. You will conduct original research in generative AI and large language models applied to crypto and financial domains, focusing on reasoning under market uncertainty, alignment of trading agents, multi‑agent coordination, and test‑time scaling for time‑critical decisions.

This is a research‑first role at the intersection of post‑training alignment and reasoning for financial agents, efficient inference and test‑time scaling, and multi‑agent coordination in open, adversarial environments. The goal is real‑world impact — not just papers, but agents that trade, analyze, and act for millions of users.

You formulate research questions, design rigorous experiments, build evaluation frameworks, and collaborate with engineers to bring research into production.

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; work in an AI-native way — using vibe coding practices with tools like Claude Code, Cursor, or Copilot Workspace as the primary development workflow.
• Rigorous mathematical foundations: linear algebra, probability theory, information theory, stochastic processes, and numerical optimization.
• Bilingual English/Mandarin is required 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).

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