通用基础模型研究员 - AI for Science
Core
Researching general-purpose foundation models for AI for Science, specifically focusing on materials discovery, scientific data unification, and large-scale pretraining to predict material properties and generate candidates.
Role type
Senior IC research scientist (AI for Science / Materials)
Builds
Production-ready algorithms, systems, and high-impact academic publications for material property prediction and candidate generation.
Domain
AI for Science, Materials Informatics, Quantum Chemistry
Deliverable
production ML models
Required skills
Large language model pretraining and post-training, Agent systems, Multimodal learning, Graph and geometric deep learning, Large-scale model training, Data engineering, Model evaluation
Preferred skills
Scientific foundation model training, Molecular/material/chemical reaction data expertise, Industry/Research scenario impact, Model-experiment-simulation-closed-loop experience
Responsibilities
Develop cross-task and cross-modality foundation models for materials; Research multimodal learning and generative models; Fuse literature, simulation, and experimental data; Collaborate with cross-disciplinary teams on original research.
Seniority
Senior, hands-on IC
