Pioneer Talent Program - Research Data Scientist

Binance
Singapore
Workplace: RemoteFull timeFunction: Data Science & Machine Learning0Education: mastersSkills: ["Python","PyTorch","Claude Code","Cursor","Copilot Workspace","Transformers","LLMs","Machine learning","Ai"]

Seeking a Research Data Scientist to conduct original ML research on generative AI and LLMs for crypto-native problems, spanning post-training alignment, test-time scaling, and multi-agent coordination. You’ll design rigorous experiments, build evaluation frameworks, and collaborate with engineers to bring research into production, with mentorship and a training curriculum as part of a Pioneer Talent Program.

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FursaFursa
Binance
Binance
3 months ago

Pioneer Talent Program - Research Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Seeking a Research Data Scientist to conduct original ML research on generative AI and LLMs for crypto-native problems, spanning post-training alignment, test-time scaling, and multi-agent coordination. You’ll design rigorous experiments, build evaluation frameworks, and collaborate with engineers to bring research into production, with mentorship and a training curriculum as part of a Pioneer Talent Program.
Location: Singapore
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Conduct original research in generative AI and large language models applied to crypto and financial domains — spanning 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

Key Requirements

  • •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
Experience:0Machine learningAiResearch
Education:Master's
Skills:PythonPyTorchClaude CodeCursorCopilot WorkspaceTransformersLLMsMachine learningAi
Languages:EnglishMandarin
Tech Stack:PythonPyTorchClaude CodeCursorCopilot WorkspaceTransformersLLMsMachine learningAi

Company Brief

Binance
Operates one of the world’s largest cryptocurrency exchanges, offering spot and derivatives trading, a native token (BNB), wallet services, staking, and a broad suite of crypto financial products and infrastructure.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Unicorn (USD 1B+)
Funding: Bootstrapped
Headquarters: George Town, Cayman Islands
Founded: 2017
WebsiteLinkedIn