Principal Applied Scientist
About The Position
In SDC (Search, Discovery, and Content AI), we power semantic search, recommendations, and agentic experiences across Adobe’s 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. We’re 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!
Requirements
- 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
Nice To Haves
- Experience designing ontologies or evolving domain taxonomies
- Familiarity with graph embeddings, GNNs, or hybrid graph–LLM architectures
- Experience with entity linking, semantic parsing, or large-scale indexing systems
- History of cross-organizational technical influence
Responsibilities
- Build and evolve large-scale knowledge-grounded systems that connect queries, entities, concepts, and multimodal signals into coherent semantic architectures.
- Define evaluation frameworks for intent accuracy, entity grounding fidelity, graph coverage, and semantic relevance.
- Establish modeling and experimentation standards across teams.
- Drive principled system building rooted in measurable impact.
- Mentor senior scientists and craft cross-org technical direction.
Benefits
- Comprehensive benefits programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
