Binance Accelerator Program - Research Data Scientist

Binance; Singapore; A distancia; SGD 28.000 - 50.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first work-from-home

Descripción de la vacante

Binance is seeking a Research Data Scientist for its Accelerator Program in Singapore. You will work with senior scientists on cutting-edge research problems at the frontier of LLM reasoning, post-training alignment, and agentic AI applied to crypto markets.

You will run experiments, implement ideas from recent papers, and translate findings into production‑ready workflows serving millions of users. The role requires hands‑on experimentation, independent thinking, and collaboration with

Formación

• Currently pursuing a Master’s or PhD in ML, CS, Math or related field.
• Expected graduation in 2026, 2027, or 2028.
• Strong Python and PyTorch proficiency; C++ or Rust exposure is a plus.

Responsabilidades

• Design and execute experiments in reasoning model training, post‑training alignment, test‑time scaling, or evaluation.
• Review and synthesize NeurIPS/ICML/ICLR/ACL papers to inform research directions.
• Implement model variants, training procedures including RLVR-based approaches, and evaluation protocols with PyTorch.
• Track experiments with reproducibility tools like Weights & Biases.
• Explore the intersection of LLM reasoning and crypto-native data for Binance.
• Collaborate with engineering to translate research into production constraints.

Conocimientos

Python

PyTorch

Transformer models

Research mindset

Educación

Master's or PhD in ML/CS/Math

Expected graduation 2026–2028

Herramientas

AI tooling

Git

Descripción del empleo

Binance Accelerator Program - Research Data Scientist

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
For all students looking to gain hands‑on experience! You'll work directly with senior scientists on research problems at the frontier of LLM reasoning, post‑training methodology, and agentic AI — applied to global crypto markets. Your work has a direct path to production systems serving hundreds of millions of users, and where findings warrant it, a clear path to external publication.
You run experiments, implement ideas from recent research, synthesize papers into hypotheses, and work with engineers to understand how research translates to real systems.
This is not a purely literature‑review or passive research role. You are expected to think independently and generate insight.
Responsibilities

Contribute to the design and execution of experiments in reasoning model training, post‑training alignment, test‑time scaling, or systematic model evaluation — with a focus on applications in financial and crypto‑native contexts

Review and synthesize recent academic literature at NeurIPS, ICML, ICLR, and ACL — tracking developments in reasoning, alignment, and agentic AI to inform and sharpen ongoing research directions

Implement model variants, training procedures including RLVR‑based approaches, and evaluation protocols using PyTorch and the Hugging Face ecosystem

Track and log experiments systematically using Weights & Biases or equivalent — maintaining reproducibility standards throughout

Explore the intersection of LLM reasoning and crypto‑native data: on‑chain signals, market microstructure, multi‑modal market intelligence — identifying research opportunities unique to Binance's position

Collaborate with applied engineering teams to understand how research findings translate into production constraints in a zero‑downtime, 24/7 trading environment

Qualifications

Currently pursuing a Master’s or PhD in Machine Learning, Computer Science, Mathematics, or related field strongly preferred;

Expected graduation in 2026, 2027, or 2028

Strong Python programming skills and PyTorch proficiency; C++ or Rust exposure a plus. Equally important: demonstrated comfort with vibe coding — using AI‑assisted development tools fluidly as part of your research and experimentation workflow

Solid understanding of transformer architectures, large language model pretraining, and the evolution toward reasoning models

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.

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 do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.