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Binance is seeking a talented AI/ML researcher to design and implement AI-powered trading agents using Web3 data. The role involves post-training of large language models and building evaluation datasets to drive practical financial AI applications.
You will work with senior engineers on system design and deployment, requiring strong communication and rapid learning in a fast-paced environment. A 6-month commitment is expected.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.
Competitive compensation and benefits、
Responsibilities:
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.
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.