🛠 Tech Stack

💼 About This Role

You'll leverage large language models and intelligent agents to design AI-powered financial trading agency skills based on Web3 data. You'll perform post-training of LLMs (SFT, RL) to enhance Binance's trading capabilities and assist in building benchmark datasets. This role offers hands-on experience in a leading global blockchain ecosystem.

🎯 What You'll Do

• Design and develop AI-powered financial trading agency skills for Web3 data.
• Perform post-training of large language models (SFT, RL) for trading skills.
• Build and maintain benchmark datasets for AI system evaluation.
• Collaborate with senior engineers on system design, integration, and deployment.

📋 Requirements

• Currently pursuing a Bachelor's, Master's, or PhD in CS, AI, or related field.
• Hands-on experience with Supervised Fine-Tuning (SFT) and Reinforcement Learning (RLHF/RLAIF).
• Familiar with frameworks like Llama Factory, Slime, Verl, or OpenRLHF.
• Familiar with PyTorch or TensorFlow and LLM toolkits like Hugging Face Transformers.

✨ Nice to Have

• Experience with financial trading systems or data.
• Knowledge of Web3 or blockchain technologies.
• Strong communication skills.

🎁 Benefits & Perks

• 🚀 Shape the future with a leading blockchain ecosystem.
• 🏆 Collaborate with world-class talent in a flat organization.
• 💻 Work-from-home arrangement available.
• 📈 Competitive compensation and company benefits.
• 🎓 Career growth and continuous learning opportunities.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application Review· 1-2 weeks
2. 2Technical Assessment· 1 hour
3. 3Interview· 45 min