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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.
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.
• Shape the future with the world's leading blockchain ecosystem
• Work alongside world-class talent in a user-centric, flat, global organization
• Independently complete unique and fast-paced projects in an innovative environment
• Thrive in a results-oriented work environment with opportunities for career development and continuous learning
• Competitive compensation and benefits、
• Work-from-home available (specific arrangements may vary depending on the nature of the business team)
Good communication skills and willingness to learn quickly.
Ability to commit at least for a 6 months tenure, 5 days per week.
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• 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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