Binance
1001 - 5000 employees
Founded 2017
₿ Crypto
💳 Fintech
💰 Initial Coin Offering on 2020-12
Crypto • Fintech
Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.
Data Scientist – LLM & Trading
🕒 April 17
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Binance
1001 - 5000 employees
Founded 2017
₿ Crypto
💳 Fintech
💰 Initial Coin Offering on 2020-12
Crypto • Fintech
Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.
📋 Description
• Leveraging knowledge of large-scale models and intelligent agents, participate in the design and development of a series of AI-powered financial trading agency skills based on Web3 data, and integrate them into practical systems. • Perform post-training of large-scale language models (SFT, RL, etc.) to enhance the model's ability to utilize Binance's internal trading skills. • Assist in building and maintaining benchmark datasets to evaluate the performance of AI systems, and assist in building and iterating workflow prototypes for financial AI agent systems. • Work closely with senior engineers to complete system design, integration, and deployment.
🎯 Requirements
• Currently pursuing or holding a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, Financial Engineering, Automation, or a related field. • Hands-on experience with post-training techniques such as Supervised Fine-Tuning (SFT) and Reinforcement Learning (RLHF / RLAIF). Familiar with common fine-tuning and reinforcement learning frameworks, such as Llama Factory, Slime, Verl, and OpenRLHF. • Familiarity with at least one mainstream deep learning framework (PyTorch, TensorFlow) and common LLM training/evaluation toolkits (Hugging Face Transformers, DeepSpeed, vLLM, etc.). • Excellent communication skills and a strong willingness to learn quickly. • Able to commit at least 6 months, working 5 days a week.
🏖️ Benefits
• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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