AI Algorithm Leader
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About the Role
About Us
Established in March 2018, Bybit is one of the fastest growing cryptocurrency derivatives exchanges, with more than 70 million registered users. We offer a professional platform where crypto traders can find an ultra-fast matching engine, excellent customer service and multilingual community support. We provide innovative online spot and derivatives trading services, mining and staking products, as well as API support, to retail and institutional clients around the world, and strive to be the most reliable exchange for the emerging digital asset class.
Our core values define us. We listen, care, and improve to create a faster, fairer, and more humane trading environment for our users. Our innovative, highly advanced, user-friendly platform has been designed from the ground-up using best-in-class infrastructure to provide our users with the industry's safest, fastest, fairest, and most transparent trading experience. Built on customer-centric values, we endeavour to provide a professional, 24/7 multi-language customer support to help in a timely manner.
As of today, Bybit is one of the most trusted, reliable, and transparent cryptocurrency derivatives platforms in the space.
- Lead the technical planning and execution of the AI algorithm team, overseeing core directions including intelligent customer service, large language model applications (GPT), and personalized recommendation (individualized user experience)
- Drive the team's exploration of cutting-edge AI technologies; champion AI Native development practices to improve overall R&D efficiency
- Lead the development of an AI platform, consolidating algorithmic capabilities and engineering infrastructure
- Collaborate closely with product and business teams to translate AI capabilities into tangible business value
- Recruit and develop algorithm talent; establish the team's technical culture and engineering standards
- Track industry frontiers (LLM, Agent, RAG, multimodal, etc.) and provide technical judgment and actionable adoption roadmaps
- Bachelor's degree or above in Computer Science, Mathematics, Statistics, or a related field; Master's or PhD preferred
- 5+ years of AI/ML algorithm engineering experience, with 2+ years in team management
- Proven hands-on experience in intelligent customer service, AIGC, or related areas
- Deep expertise in recommendation systems, including the full pipeline of recall, ranking, and re-ranking, with experience deploying large-scale online recommendation systems
- Hands-on experience with LLM productionization, including Prompt Engineering, RAG, Fine-tuning, and Agent frameworks, with real-world business application cases
- Experience building enterprise knowledge bases, including document parsing, vectorization, retrieval-augmented generation (RAG), and knowledge graphs; experience building a knowledge base system from scratch
- Strong business acumen — able to align algorithmic capabilities closely with business objectives
- Excellent cross-team communication and collab
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