Sr / Staff Machine Learning Engineer

Join Adobe Security Engineering and help build the ML and generative AI capabilities that protect Adobe, our products, and our customers. Our team sits where cybersecurity, large-scale data, and AI meet, building models for anomaly detection, threat detection, investigation, and security analytics across some of Adobe's largest datasets. As a Staff Machine Learning Engineer, you'll design, build, and scale production ML systems spanning deep learning, behavioral modeling, embeddings, and agentic AI. You'll write code, train models, run experiments, and help shape the architecture the broader team builds on. You'll also partner closely with data, platform, and security engineers across Adobe.

The Challenge

• Architect end-to-end ML systems for high-volume security data, turning experiments into reusable capabilities.
• Own the ML lifecycle, from feature engineering through training, deployment, monitoring, and retraining.
• Build LLM and agentic AI capabilities for security investigation, including retrieval-augmented generation.
• Design evaluation frameworks that measure model quality and help analysts trust and validate results.
• Work with data and platform engineers to scale pipelines and resolve system bottlenecks together.
• Mentor engineers and help guide technical direction through design reviews and hands-on collaboration.

What you bring

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