AI Research Scientist, Applied AI
Tasks
- Build reinforcement learning and multi agent systems
- Collaborate with research, engineering, and product teams
- Conduct AI R and D
- Create technical invention disclosures for patents
- Develop AI models and algorithms
- Develop hybrid physics AI modeling approaches
- Draft and review conference and journal publications
- Integrate AI into simulation and decision support
Perks/Benefits
Skills/Tech-stack
API Integration | Agent systems | Bayesian Methods | CI/CD | Code Reviews | Computer Vision | Deep learning | Diffusion Models | Fine Tuning | Functional Programming | GPU Acceleration | Generative AI | GitHub | Language Models | Large Language Models | Machine Learning | Microservices | Model Evaluation | Monte Carlo | Monte Carlo Methods | Multi-Agent | Multi-Agent Systems | Network Optimization | Neural Network | Neural Network Optimization | Neural Network Transformers | Neural Networks | Object-Oriented | Object-oriented programming | Parallel Computing | Probabilistic Modeling | Prompt engineering | Python | RAG | Reinforcement Learning | Retrieval systems | Retrieval-Augmented Generation | Transformer
Education
Roles
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