Senior ML Engineer — Security AI & Anomaly Detection

Adobe

San Francisco (CA)

On-site

USD 212,000 - 307,000

Full time

14 days+

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Job summary

Adobe Security Engineering seeks a Staff Machine Learning Engineer to design, build, and scale production ML systems for security analytics across Adobe’s datasets.

You will work with deep learning, embeddings, and agentic AI, train models with PyTorch, run experiments, and shape the architecture used by the broader team. You will partner with data, platform, and security engineers and mentor others.

Qualifications

  • Experience running production ML systems at scale.
  • Experience training models with PyTorch and transformers.
  • Proficiency with Spark, AWS, and MLflow.
  • Experience building with LLMs or generative AI in production.
  • Strong Python and SQL skills and code testing.
  • Mentoring engineers and shaping technical direction.
  • MS or PhD in CS/ML or related field or equivalent experience.

Responsibilities

  • Architect end-to-end ML systems for high-volume security data.
  • 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 trust.
  • Scale pipelines with data and platform engineers to resolve bottlenecks.
  • Mentor engineers and influence technical direction through design reviews.

Skills

Production ML
PyTorch
Transformers
Distributed compute
AWS
MLOps
LLMs
Python
SQL
Mentoring

Education

MS or PhD in CS/ML or related field

Tools

Spark
MLflow

Job description

Adobe Security Engineering seeks a Staff Machine Learning Engineer to design, build, and scale production ML systems for security analytics across Adobe’s datasets.

You will work with deep learning, embeddings, and agentic AI, train models with PyTorch, run experiments, and shape the architecture used by the broader team. You will partner with data, platform, and security engineers and mentor others.

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