Pioneer Talent Program - Research Data Scientist

Binance; Singapore; On-site; SGD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Company benefits

Work-from-home arrangement

Job summary

Binance is seeking a Research Data Scientist in Singapore to conduct original research in generative AI and large language models, particularly in crypto and financial domains. This role focuses on reasoning under market uncertainty and developing innovative methodologies. Candidates should possess a Master's or PhD, have up to 5 years of experience in ML/AI, and be proficient in Python and PyTorch. Bilingual in English and Mandarin is essential for coordinating with international partners. Competitive salary and work-from-home arrangements are offered.

Qualifications

• Master's or PhD in Machine Learning, Computer Science, Mathematics or related field preferred.
• 0–5 years of research or industry experience in ML/AI.
• Deep understanding of transformer architectures and large language model pretraining dynamics.
• Proficiency in Python and PyTorch, using innovative coding practices.
• Strong foundations in linear algebra, probability theory, and numerical optimization.
• Bilingual in English and Mandarin for coordinating with overseas partners.

Responsibilities

• Conduct original research in generative AI and large language models applied to crypto.
• Design and execute rigorous experiments with clear hypotheses.
• Develop post-training methodologies and evaluation frameworks for LLMs.
• Research test-time scaling techniques for improving agent reasoning quality.
• Track developments across the research community to apply techniques to Binance's challenges.

Skills

Machine Learning

Research methodologies

Python

PyTorch

Bilingual English/Mandarin

Education

Master's or PhD in relevant field

Exceptional Bachelor's candidates with research output

Tools

Claude Code

Cursor

Copilot Workspace

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.