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This is a role to lead the newly established AI Lab Shanghai, which will operate independently from core trading operations as a long-term innovation engine to explore, develop, and apply the most advanced AI and machine learning technologies to complex problems. The lab will be at the forefront of pushing boundaries, from foundational model development to novel AI systems.
Job Responsibility:
Establish the AI Lab’s technical vision and long-term roadmap aligned with cutting-edge research and internal innovation goals
Build a world-class team of AI researchers, engineers, and applied scientists
Foster a strong culture of experimentation, ownership, and high-impact delivery
Drive exploration into areas such as deep learning, foundation models, generative AI, reinforcement learning, and novel model architectures
Oversee design and deployment of experimental AI systems, both for proof-of-concept and strategic long-term application
Collaborate with domain experts to identify high-value, AI-native opportunities
Attract and mentor top-tier talent from academia and industry
Design internal processes for research sharing, experimentation, and review
Partner with internal stakeholders across research, trading, and technology to ensure alignment where needed while preserving the lab’s independence and vision
Represent the lab externally in the AI community and conferences
Requirements:
PhD or equivalent experience in Computer Science, AI, Machine Learning, or related field
Deep expertise in modern ML techniques (e.g., deep learning, transformers, RL, generative models)
Proven track record of research, publications, or system-level innovation
Comfortable working in ambiguous, open-ended environments
Ability to balance long-term vision with milestone-driven progress
Clear, compelling communicator who can inspire and influence across disciplines
Strong ability to present complex ideas to both technical and non-technical audiences
What we offer:
Competitive compensation and long-term incentives
Access to cutting-edge infrastructure, compute, and proprietary datasets
High-trust, low-bureaucracy environment with exceptional resources