LLM & Trading AI Scientist (Accelerator)

Binance; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Work-from-home arrangement

Competitive salary and benefits

Career development and learning

Job summary

Binance Accelerator Program in Singapore seeks a Data Scientist to design and develop AI-powered trading agents leveraging large-scale models and Web3 data. The role focuses on post-training and fine-tuning to enhance Binance's internal trading skills and evaluation workflows.

You will work with senior engineers on system design and deployment, build benchmark datasets, and iterate practical AI agent prototypes. A 6-month minimum commitment and 5-day work week are expected.

Qualifications

• Hands-on experience with post-training techniques such as SFT and RLHF/RLAIF.
• Familiar with fine-tuning and RL frameworks like Llama Factory, Slime, Verl, OpenRLHF.
• Proficiency with PyTorch or TensorFlow and common LLM toolkits (Transformers, DeepSpeed, vLLM).

Responsibilities

• Design and develop AI-powered trading agent skills using Web3 data and integrate into practical systems.
• Post-train large language models to improve use of internal trading capabilities.
• Build and maintain benchmark datasets to evaluate AI systems and iterate workflows for AI agents.
• Collaborate with senior engineers to complete system design, integration and deployment.

Skills

SFT & RLHF

Fine-tuning frameworks

PyTorch / TF

Transformers / DeepSpeed

Communication skills

Education

Bachelor/Master/PhD in CS/AI/Financial Eng

Additional degree or certifications

Job description

Binance Accelerator Program in Singapore seeks a Data Scientist to design and develop AI-powered trading agents leveraging large-scale models and Web3 data. The role focuses on post-training and fine-tuning to enhance Binance's internal trading skills and evaluation workflows.

You will work with senior engineers on system design and deployment, build benchmark datasets, and iterate practical AI agent prototypes. A 6-month minimum commitment and 5-day work week are expected.