Applied Scientist, Personalization, Personalization
Tasks
- Apply temporal reasoning for personalization
- Build customer memory and personalization ML systems
- Collaborate with engineering and product to measure impact
- Deploy models to production at scale
- Design ML and LLM powered solutions
- Extract and validate customer knowledge
- Improve fact extraction memory quality and lifecycle
- Own end to end ML solution delivery
- Run offline and online experimentation
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Apache Spark | C++ | Deep learning | Distributed Systems | Grounded Personalization | Information Extraction | Information Retrieval | Java | Knowledge representation | LLM Reasoning | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Offline experimentation | Online Experimentation | Production Deployment | Python | Recommendation Systems | Temporal reasoning | Web Services
Education
Roles
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