Applied Scientist, GenAI Catalog Intelligence, PRISM
Tasks
- Advance interpretability for autonomous decisions
- Build and optimize retrieval-augmented generation systems
- Design agentic architectures for skill planning and tool orchestration
- Design experiments and iterate to improve diagnostic accuracy
- Develop model distillation and compression for efficient deployment
- Formulate research problems for agentic diagnostics
- Improve uncertainty calibration and confidence estimation
- Mentor engineers on machine learning and experimental design
- Run full research lifecycle to production deployment
- Translate research prototypes into production systems
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Architectures | C++ | Confidence estimation | Deep learning | Experimental Design | Explainable Machine Learning | GPU Acceleration | Human Feedback | Interpretability | Java | Knowledge Distillation | LLM serving | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Model Compression | Multimodal Learning | Neural Network | Prompt engineering | Python | RAG | RLHF | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Statistical Analysis | TPU | Tool orchestration | Uncertainty calibration
Education
Roles
Regions
Countries
States
Cities
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