Senior / Information Retrieval Engineer (ai/ml), Brand Concierge

Adobe Media and Data Science Research (MDSR) Laboratory

San Jose, California, USA
Base: $172,500 -- $306,625 annually; bonus/equity:...
Hybrid
Scalable retrieval pipelines
Vector databases
Semantic search infrastructure
Lead the development and optimization of retrieval systems that power context-aware large language models (LLMs)

Job Summary

  • Lead the development and optimization of retrieval systems that power context-aware large language models (LLMs).
  • Architect and deploy scalable retrieval pipelines using vector databases and implement semantic search infrastructure.
  • Collaborate with prompt engineers and model developers to align retrieval outputs with downstream model behavior.

Matching Summary

Lead the development and optimization of retrieval systems that power context-aware large language models (LLMs).

Salary

Base: $172,500 -- $306,625 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • scalable retrieval pipelines
  • vector databases
  • semantic search infrastructure
  • embedding generation
  • relevance scoring
  • knowledge graphs
  • LLM reasoning

Nice-to-have

  • graph databases
  • cognitive computing
  • human ingenuity
  • AI innovation

Key Requirements

  • 4+ years data engineering, ML infrastructure, or information retrieval
  • Experience building RAG pipelines or semantic search systems
  • Strong ML and Python skills
  • Familiarity with retrieval libraries
  • Proficiency with embedding models
  • Familiarity with cloud platforms and MLOps tooling

Work Rights

Not specified

Tailored Resume

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