Binance Accelerator Program - Research Data Scientist

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

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