Binance Accelerator Program - Research Data Scientist

Binance; Hong Kong; Hybrid; HKD 313,479 - 548,589; Full time

Benefits offered by this job

Competitive salary

Company benefits

Work-from-home arrangement

Job summary

Binance is seeking a research intern in Hong Kong for its Accelerator Program focused on LLM reasoning. The role involves working closely with senior scientists on research applied to global crypto markets. Candidates should be pursuing a Master's or PhD in a related field, and possess strong Python and PyTorch skills. The position includes opportunities for networking and career development in a leading blockchain ecosystem. Remote work options may vary based on team needs.

Qualifications

• Currently pursuing a Master’s or PhD in a relevant field strongly preferred.
• Strong Python programming skills and PyTorch proficiency required.
• Solid understanding of transformer architectures and large language model pretraining.

Responsibilities

• Contribute to the design and execution of experiments in reasoning model training.
• Implement model variants and training procedures using PyTorch.
• Collaborate with engineering teams to understand research constraints.

Skills

Python programming

PyTorch

C++ or Rust exposure

Education

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

Tools

Weights & Biases

Hugging Face ecosystem

Job description

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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About Binance Accelerator Program

Binance Accelerator Program is a concise fixed‑term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE

Who May Apply

Current university students and recent graduates

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 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.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.