Senior Applied Scientist: Tribal Knowledge & Systems Intelligence

Pavoai

San Francisco (CA)

On-site

USD 180,000 - 280,000

Full time

14 days+
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Benefits offered by this job

Foundational work
Short loop with founders
Real ownership of the science agenda
Publication encouraged

Job summary

Pavo is building Enterprise Superintelligence with a focus on end-to-end architectures that leverage code, data, and decisions. You will join a small, senior team as an Applied Scientist, leading the science track of tribal-knowledge generation and turning messy production behavior into shipped, evidence-backed changes.

This is a senior, individual-contributor role with end-to-end ownership. You’ll work on problems between today's RAG and tomorrow's organizationally-aware agents, delivering

Qualifications

  • Senior researcher with 8+ years applied research in industry or a PhD with strong applied record.
  • Experience turning production behavior into research questions and shipped improvements.
  • Familiarity with agentic systems, retrieval, and evaluation of open-ended generation.

Responsibilities

  • Lead science track for tribal-knowledge generation in production systems.
  • Tackle open problems between current RAG and organizationally-aware agents.
  • Publish internal memos and external papers, talks, or reports.

Skills

Senior track record
Agentic systems understanding
Retrieval fundamentals
Experimental discipline
Hallucination/RAG-Eval familiarity
Production intuition
Technical writing

Education

PhD in ML/NLP/IR or equivalent

Job description

Pavo is building Enterprise Superintelligence with a focus on end-to-end architectures that leverage code, data, and decisions. You will join a small, senior team as an Applied Scientist, leading the science track of tribal-knowledge generation and turning messy production behavior into shipped, evidence-backed changes.

This is a senior, individual-contributor role with end-to-end ownership. You’ll work on problems between today's RAG and tomorrow's organizationally-aware agents, delivering

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