AI Research Scientist — Agentic AI for Materials Discovery
Redmond, WA | Pasadena, CA
USD 147K-208K (estimate) Entry-level Full Time
Tasks
- Build AI sub agents for closed loop discovery framework
- Collaborate with domain experts to translate workflows into agent architectures
- Contribute to open source tooling and publish research
- Design multi agent systems for autonomous materials discovery pipelines
- Develop and fine tune retrieval augmented generation systems
- Evaluate and benchmark agent performance for materials discovery
- Integrate agentic AI workflows with computational chemistry tools
Perks/Benefits
- N/A
Skills/Tech-stack
ASE | Agent systems | Cheminformatics | Computational Chemistry | Gaussian | HPC Infrastructure | HPC Job Orchestration | JAX | Job orchestration | Knowledge graphs | LAMMPS | Language Models | Language Processing | Large Language Models | Molecular Dynamics | Molecular simulation | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Quantum Chemistry | RAG | Retrieval-Augmented Generation | VASP
Education
Regions
Countries
States
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