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# Sr Staff Machine Learning Engineer - Media Intelligence

- **Company:** Adobe Systems
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $238,700.0 - $345,650.0
- **Contract:** Permanent contract
- **Skills:** Machine Learning, Adobe
- **Published:** August 28, 2026
- **Apply:** https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Staff-Machine-Learning-Engineer---Media-Intelligence_R171441

## About the Role

* 10+ years in machine learning, data, or infrastructure engineering, including deep ownership of large-scale data processing and/or search & retrieval systems in production - and a track record of leading systems and setting technical direction across teams.
 * Deep expertise designing and operating search and retrieval infrastructure at scale - vector/ANN (e.g., HNSW, IVF, ScaNN, DiskANN), lexical search (Lucene / Elasticsearch / OpenSearch), hybrid retrieval, ranking and reranking, and query understanding.
 * Strong data-engineering foundations - large-scale batch and streaming pipelines (e.g., Spark, Beam, Flink, Ray), data modeling, and the storage systems behind them (object stores, vector databases, columnar/OLAP).
 * Experience building retrieval for LLM and agentic systems - RAG, multimodal and cross-modal search, grounding and provenance, and retrieval evaluation.
 * Strong Python, plus a systems language (Go, Rust, or C++) a plus; hands-on familiarity with embedding models and the inference paths that produce them (PyTorch).
 * A track record building the observability, monitoring, and alerting that data and search systems rely on to hit freshness, recall, and latency SLAs.
 * Experience with multi-tenant systems and data isolation in an enterprise or regulated context.
 * Fluency with containers and orchestration (Docker, Kubernetes), CI/CD, and a major cloud (AWS or Azure).
 * Comfort reasoning about retrieval quality and relevance across modalities (text, image, video, 3D, audio), in partnership with Applied Science.
 * Proven technical leadership - mentoring senior engineers, driving cross-org design and build/buy decisions, and influencing roadmap and standards.
 * Excellent communication and data-driven problem-solving in cross-functional settings, including with leadership.

Education

 * MS or PhD in Computer Science, Computer Engineering, or a related field - or equivalent practical experience building and operating large-scale data and search systems.

#FireflyGenAI



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