Research Scientist - Model Capability Boundary Exploration and AI Data Flywheel System Development - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

What you'll do

• Build, develop, and maintain a large-model-as-a-service platform for LLM applications, including training and fine-tuning, inference, model management, and resource orchestration.
• Manage GPU resources and provide computing capacity efficiently.
• Develop agent optimization capabilities and data-driven feedback loops to improve models and business systems.

What they ask for

• Currently pursuing or recently completed a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field.
• Research experience in at least one of: LLM post-training and alignment, model evaluation, test-time scaling, agent systems, or large-scale data curation and optimization.
• Demonstrated research ability through publications, substantial research projects, or internships.
• Ability to work independently on open-ended research problems, from problem formulation through experimental execution.

Nice to have

• Interest in foundation models and data-centric AI, including data flywheels, continual learning, data curation and valuation, or algorithm-infrastructure co-design.
• Multiple first-author papers at top-tier venues, or relevant research or internship experience, ideally involving scalable ML systems or real-world deployment.

Tools

LLM, GPU

AI focus

Research and develop AI data flywheels, model evaluation and improvement, agent systems, and LLM service platform capabilities using real-world data and feedback.