Binance Accelerator Program - AI Research Scientist (LLM Reasoning & Post-Training)

About the Company

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We provide security, user fund transparency, high-performance trading, deep liquidity, and a wide portfolio of digital-asset products across trading, finance, education, research, payments, institutional services and Web3 features.

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. The program combines on-the-job experience with networking and development to expand your professional network and build transferable skills.

Who May Apply

• Current university students and recent graduates
• Candidates pursuing a Master’s or PhD in Machine Learning, Computer Science, Mathematics, or a related field (preferred graduation between 2026–2028)
• Current university students (Masters, PhD in AI track) or recent graduates who are open to starting as an intern

About the Role

You will work alongside senior research scientists on problems at the frontier of LLM reasoning, post-training methodology, and agentic AI, in an environment where models interact with live global markets at scale. This role involves running experiments, forming and testing independent hypotheses, implementing recent research ideas, and collaborating with engineering teams to evaluate behavior under real production constraints.

Responsibilities

• Design and run experiments in reasoning model training, post-training alignment, test-time compute scaling, and systematic model evaluation grounded in financial and crypto-native problems
• Implement model variants, training pipelines (including RLVR-based approaches), and evaluation frameworks in PyTorch and the Hugging Face ecosystem
• Synthesize recent work from NeurIPS, ICML, ICLR, and ACL to translate papers into testable research directions
• Apply LLM reasoning to crypto-native data such as on-chain signals, market microstructure, and multi-modal market intelligence
• Maintain rigorous experiment tracking and reproducibility standards (W&B or equivalent)
• Partner with applied engineering to understand how research translates into production systems and real-world constraints

Requirements

• Currently pursuing a Master’s or PhD in Machine Learning, Computer Science, Mathematics, or a related field (preferably graduating between 2026 and 2028)
• Strong Python and PyTorch fundamentals; C++ or Rust exposure is a bonus
• Comfortable using AI-assisted development tools as part of your research workflow
• Solid grounding in transformer architectures, LLM pretraining, and reasoning-capable model paradigms
• Ability to form independent research opinions and translate literature into experiments

Why Binance

• Work with the world’s leading blockchain ecosystem and shape the future of digital assets
• Collaborate with world-class talent in a flat, user-centric global organization
• Tackle unique, fast-paced projects with autonomy and opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work arrangement: onsite (role listed as onsite and part-time in the posting); some teams or tasks may offer work-from-home depending on business needs

Additional Information

Binance is an equal opportunity employer committed to workforce diversity. By submitting an application you agree to Binance's Candidate Privacy Notice. Binance may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing responses; final hiring decisions are made by humans.