Remote Research Data Scientist - LLMs & Crypto AI

Binance; Hong Kong; A distancia; HKD 89.000 - 134.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first

Competitive salary

Career growth

Descripción de la vacante

Binance is seeking a student researcher to work with senior scientists on problems at the frontier of LLM reasoning, post-training methodology, and agentic AI applied to global crypto markets.

You will run experiments, implement ideas from recent research, and translate findings into production constraints within a zero-downtime, 24/7 trading environment. Collaboration with engineers is essential and a path to external publication exists when appropriate.

Formación

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

Responsabilidades

• 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

Conocimientos

Python

PyTorch

C++ exposure

Educación

Master's or PhD in ML/CS/Math

Herramientas

Hugging Face

Descripción del empleo

Binance is seeking a student researcher to work with senior scientists on problems at the frontier of LLM reasoning, post-training methodology, and agentic AI applied to global crypto markets.

You will run experiments, implement ideas from recent research, and translate findings into production constraints within a zero-downtime, 24/7 trading environment. Collaboration with engineers is essential and a path to external publication exists when appropriate.