物质发现算法研究员-AI for Science
Core
Develop algorithms and models for molecular representation learning, molecular generation, multi-modal learning, multi-objective optimization, and time-series prediction to predict molecular properties and design functional molecules.
Role type
Research Scientist (AI for Science / Computational Chemistry)
Builds
Production-ready algorithms and models for molecular property prediction and functional molecule design
Domain
AI for Science, Computational Chemistry, Materials Science
Deliverable
production ML models
Required skills
Molecular representation learning, Molecular generation, Multi-modal learning, Multi-objective optimization, Time-series prediction, PyTorch, Cross-disciplinary knowledge (Chemistry/Physics/Materials), Algorithm implementation, Academic publication
Preferred skills
Patent generation, Top-tier journal publication (Nature/Science/JACS/JCTC), Long-term research focus
Technologies
PyTorch
Responsibilities
Design and implement efficient solutions for molecular property prediction and functional molecule design; Collaborate with cross-disciplinary teams on problem definition, theoretical modeling, algorithm implementation, and experimental validation; Publish core technologies in patents and top-tier journals.
Seniority
Senior, Research Scientist
