Principal Applied Data Scientist - Search and Browse (NLP, Vector Search, LLMs)
100 Mathilda Place,Ste 100 Sunnyvale,CA 94086-6017, United States
USD 168K-356K Senior-level Full Time
Tasks
- Architect integration for external LLM and agentic search ecosystems
- Balance customer experience business impact reliability latency scalability and infrastructure cost
- Define evolution of semantic retrieval and conversational search
- Define technical vision and roadmap for search and browse
- Drive innovation across transformers LLMs RAG multi stage ranking personalization conversational commerce and agentic AI
- Drive technical direction across search retrieval infrastructure and AI discovery platforms
- Establish scalable ML architecture patterns experimentation standards and operational best practices
- Influence organization strategy across relevance experimentation evaluation ML infrastructure and AI product investments
- Lead ambiguous multi quarter cross functional initiatives
- Lead architecture strategy for retrieval ranking semantic search and GenAI
- Mentor lead scientists and technical leaders
- Represent organization in executive reviews and drive alignment
Perks/Benefits
- 401k
- Dental insurance
- Employee discount
- Health insurance
- Life insurance
- Long-term disability
- Paid national holidays
- Paid sick leave
- Paid vacation
- Short-term disability
- Vision insurance
Skills/Tech-stack
Experimentation | Information Retrieval | Language Models | Language Processing | Large Language Models | Latency optimization | ML Infrastructure | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Online Systems | Python | RAG Architecture | Ranking Models | Recommendation Systems | Retrieval-Augmented Generation | Scalability | Semantic Search | Transformers | Vector Search | Vertex AI
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
Regions
Countries
States
Cities
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