Staff Information Retrieval Engineer

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!

The Opportunity

We are seeking a passionate and technically strong engineer who excels at the intersection of information retrieval machine learning and large-scale systems and will help shape the future of brand-aware AI at Adobe. You will design and optimize systems that develop a deep understanding of an enterprise brand by ingesting brand information and creative assets into a scalable retrievable brand intelligence platform backed by data-driven custom ontologies.

You will play a critical role in enabling context-aware large multi-modal models to access the most relevant timely and high-quality informationdriving improved reasoning and brand compliance across enterprise marketing workflows. Your work will directly support high-impact Adobe surfaces such as GenStudio for Performance Marketers (GS PeM) Workfront and Adobe Experience Manager (AEM) ensuring that businesses can create at scale while staying on brand.

What youll do

Build ingestion pipelines for structured and unstructured data sources

Implement sparse and dense semantic and lexical indexing as well as metadata enrichment strategies

Contribute to the creation and maintenance of multi-modal brand-specific ontologies and graphs for context linking disambiguation and brand-aware creative production

Ensure data freshness versioning and reliability in retrieval systems

Implement hybrid search strategies to optimize precision and recall for brand-specific contexts using vector and graph databases

Optimize intelligent query understanding and planning mechanisms for enterprise-grade use cases

Directly engage with product managers and engineers to align retrieval outputs with creative workflows with unparalleled scalability efficiency and performance

Monitor retrieval system health with metrics such as accuracy latency and fallback rate

Implement caching prefetching and de-duplication strategies to deliver low-latency high-throughput experiences

What you need to succeed

4 years of experience in information retrieval data engineering or ML infrastructure

Experience in building and deploying RAG pipelines or semantic search systems using well-known search platforms (Elastic Lucene Vespa Pinecone)

Expert programming skills in Python and experience with frameworks such as Haystack LangChain or LangGraph

Extensive expertise in search result evaluation methods

Familiarity with cloud platforms (Azure AWS) and containerization/orchestration (Docker Kubernetes)

Understanding of ML pipelines monitoring and MLOps standards

Preferred Qualifications

Experience with graph databases (Neo4j TigerGraph) or building knowledge graphs

Experience with streaming platforms such as Apache Flink Spark Streaming Kafka Streams

Background in IR/NLP search engineering or cognitive computing

Degree in Computer Science Information Systems or a related field or equivalent experience

At Adobe for sales roles starting salaries are expressed as total target compensation (TTC base commission) and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

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Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting) the application window will remain open until at least the date and time stated above in Pacific Time in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location no specific application window applies and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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