Principal Data Scientist - Agent Builder
Tasks
- Build retrieval and re ranking improvements
- Communicate tradeoffs through technical proposals notebooks and dashboards
- Conduct offline and online evaluation using A B testing and golden datasets
- Define evaluation strategy for conversational and agentic search
- Design quality metrics and decision frameworks for RAG and agents
- Mentor teams on experiment design and evaluation methodology
- Productionize evaluation pipelines telemetry dashboards and CI guardrails
- Prototype and evaluate multimodal and contextual agent enhancements
Perks/Benefits
- Financial donation matching
- Flexible work schedule
- Health coverage
- Parental leave
- Vacation days
- Volunteer time
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Citation Quality | Context Enrichment | Dashboards | Dense retrieval | ELK Stack | Elasticsearch | Groundedness Evaluation | Information Retrieval | LLM Evaluation | LLM-as-judge | Language Processing | Natural Language | Natural Language Processing | Pandas | PyTorch | Pytest | Python | Query Understanding | Ranking | Re-ranking | Retrieval-Augmented Generation | Semantic Rewrite | Semantic Search | Sparse Retrieval | Telemetry | Transformers | Vector Search
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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