Chief AI Scientist

About the Role
As our AI foundation model products continue to scale, we are expanding our business into international markets and strengthening our global AI capabilities. We are looking for a Chief Scientist – Foundation Models to lead our core AI research and development, define the company’s foundation model technology roadmap, and drive the transition of cutting-edge AI research into scalable products and applications for global markets.
Key Responsibilities & Requirements

1. Education

Master’s degree or above from a world-class university in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field. Candidates from MIT, Stanford, Carnegie Mellon University (CMU), Ivy League universities, or other globally top-ranked institutions are highly preferred. MIT candidates are particularly preferred.

1. Professional Experience

8+ years of experience in AI and large language model research and development, with deep expertise in Foundation Models, LLMs, Pre-training, Post-training, Reasoning, RLHF/RL, and other core AI technologies.

1. Leading Technology Company Background

Candidates with experience at leading global or Chinese AI/technology companies are strongly preferred, particularly those who have worked on large-scale AI research and development programs or served in key technical roles on major foundation model projects.

1. Foundation Model Expertise

Deep hands-on experience across the foundation model lifecycle, including data, model architecture, pre-training, post-training, alignment, and inference optimization. Candidates should possess a strong understanding of large-scale model training systems and the latest evolution of foundation model technologies.

1. Technical Achievements & Industry Impact

Candidates who have led or played a core role in training well-known foundation models are strongly preferred. Demonstrated industry impact in areas such as model capabilities, training efficiency, reasoning, alignment, or inference will be highly valued. High-impact publications, patents, open-source projects, or recognized contributions to major AI models are a strong plus.

1. Global Perspective

Strong international perspective and a deep understanding of the global AI landscape. Ability to identify emerging AI technologies and translate global market needs into model capabilities and product innovation.

1. Technical Leadership

Strong technical vision, strategic thinking, and leadership capabilities, with the ability to define the company’s AI technology roadmap, build a world-class international AI research team, and drive innovation from research and model training through productization and global market deployment.