Research Data Scientist

About the Role:

• 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.
• Run experiments, implement ideas from recent research, and collaborate with engineers to translate research into production systems serving hundreds of millions of users.

Responsibilities:

• Contribute to experiment design in reasoning model training, post-training alignment, test-time scaling, or systematic model evaluation.
• Review and synthesize academic literature at top ML conferences and implement model variants and training procedures using PyTorch and Hugging Face.
• Explore the intersection of LLM reasoning and crypto-native data, including on-chain signals and market microstructure, to identify unique research opportunities.

Qualifications:

• Currently pursuing a Master's or PhD in Machine Learning, Computer Science, Mathematics, or related field with expected graduation in 2026-2028.
• Strong Python and PyTorch skills; C++ or Rust exposure a plus; comfortable with AI-assisted development tools.
• Solid understanding of transformer architectures, LLM pretraining, and the evolution toward reasoning models.

Why Binance:

• Shape the future of finance and collaborate with world-class talent in a flat, user-centric global organization.
• Thrive in a results-driven workplace with autonomy, competitive salary, company benefits, and a remote-first work-from-home arrangement.