Data Scientist – LLM & Trading

This is a fully remote position, open to applicants in Singapore.

📋 Description

• Utilize expertise in large-scale models and intelligent agents to contribute to the design and development of a range of AI-driven financial trading agency capabilities based on Web3 data, integrating these into effective systems.

• Conduct post-training of large-scale language models (SFT, RL, etc.) to improve the model's proficiency in utilizing Binance's internal trading functionalities.

• Aid in the creation and maintenance of benchmark datasets to assess the performance of AI systems, and assist in the development and iteration of workflow prototypes for financial AI agent systems.

• Collaborate closely with senior engineers to finalize system design, integration, and deployment.

⛳️ Requirements

• Currently enrolled in or holding a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, Financial Engineering, Automation, or a related discipline.

• Practical experience with post-training methods such as Supervised Fine-Tuning (SFT) and Reinforcement Learning (RLHF / RLAIF). Familiarity with common fine-tuning and reinforcement learning frameworks, including Llama Factory, Slime, Verl, and OpenRLHF.

• Knowledge of at least one popular deep learning framework (PyTorch, TensorFlow) and commonly used LLM training/evaluation toolkits (Hugging Face Transformers, DeepSpeed, vLLM, etc.).

• Strong communication abilities and a keen eagerness to learn rapidly.

• Willingness to commit for a minimum of 6 months, working 5 days a week.

🏝️ Benefits

• Competitive salary and comprehensive company benefits

• Work-from-home arrangement (the specifics may vary based on the business team's work nature)