Principal Applied Scientist

In SDC (Search Discovery and Content AI) we power semantic search recommendations and agentic experiences across Adobes creative ecosystem.

A core priority is knowledge-grounded AI integrating knowledge graphs multimodal embeddings LLMs and ranking systems to deeply understand intent and creative content.

Were hiring a Principal Scientist to define how structured knowledge and foundation models work together at scale. You will architect next-generation graph-driven search hybrid retrieval and grounded generative systems that power real products used by millions. This is a deeply technical high-ownership role!

You will build and evolve large-scale knowledge-grounded systems that connect queries entities concepts and multimodal signals into coherent semantic architectures.

• Hybrid neural-symbolic retrieval and ranking

• Structured intent modeling and entity grounding

• Multimodal representations aligned with knowledge graphs

• Graph-grounded RAG and agentic systems

You will also raise the scientific and architectural bar by:

• Defining evaluation frameworks for intent accuracy entity grounding fidelity graph coverage and semantic relevance

• Establishing modeling and experimentation standards across teams

• Driving principled system building rooted in measurable impact

• Mentoring senior scientists and crafting cross-org technical direction

Expect ambiguous problems deep technical challenges and visible product impact!

At the P60 level you will build semantic architecture across multiple products and set the strategic direction for knowledge grounded AI. You will architect how our knowledge-graphs and foundation models evolve in tandem. You will be a recognized authority in knowledge-centric AI systems.

• PhD or equivalent experience (preferred) or MS in Computer Science AI ML or related field

• 10 years building and deploying large-scale AI/ML systems

• Deep expertise in knowledge graphs information retrieval NLP/intent modeling multimodal learning or LLM/RAG systems

• Proven track record delivering production-grade semantic platforms

• Experience designing ontologies or evolving domain taxonomies

• Familiarity with graph embeddings GNNs or hybrid graphLLM architectures

• Experience with entity linking semantic parsing or large-scale indexing systems

• History of cross-organizational technical influence

You think in systems not isolated models.

You hold a high bar for rigor clarity and measurable impact.

You influence through technical depth and sound judgment.

You care about correctness and building things that last!

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes industry-leading offerings including Adobe Acrobat Studio Adobe Express Adobe Firefly Creative Cloud Adobe Experience Platform Adobe Experience Manager and GenStudio enable people and businesses to turn ideas into impact powered by AI and driven by human ingenuity.

Our 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Lets Adobe together

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Expected Pay Range:

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.

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