Junior AI Scientist for Materials
Pudong, Shanghai, China
CNY 28K-50K (estimate) Entry-level Full Time
Tasks
- Build embeddings vector databases and prompt engineering pipelines
- Build predictive models for material performance
- Collaborate with computational chemistry and materials modeling teams
- Create user journeys and prioritize features with iterative milestones
- Deploy production grade AI solutions for R and D workflows
- Design LLM RAG applications for materials R and D
- Develop data pipelines for chemical structures and properties
- Extract and structure experimental data from reports
- Integrate chemistry knowledge into AI models
- Maintain clean modular scalable code and documentation
- Perform exploratory data analysis and statistical analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Azure | Azure OpenAI | Cheminformatics | ChromaDB | Claude API | Cloud deployment | Data Analysis | Data cleaning | Docker | Docker containers | ELN | Electronic lab notebooks | Embeddings | Exploratory Data Analysis | Faiss | FastAPI | Git | Gradio | Language Models | Large Language Models | Matplotlib | Molecular fingerprints | Mordred | NumPy | OpenAI API | Pandas | Pinecone | Plotly | Prompt engineering | Python | QSAR | QSPR | RDKit | Retrieval-Augmented Generation | Seaborn | Streamlit | Vector Databases | Web Services
Education
Roles
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