Senior AI/ML Engineer — Fraud & Risk Detection

Adobe

San Jose (CA)

Hybrid

USD 183,000 - 265,000

Full time

5 days ago
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Job summary

Adobe seeks a Senior AI/ML Engineer to build and broaden fraud and abuse detection systems. You will own signals, modeling, and production deployment, applying ML, LLMs, and AI agents to strengthen real-time risk decisions.

You will work across data, backend systems, and risk teams to deliver production-ready capabilities at scale in a hybrid California office, with 3 days in person. You will need 8+ years of production ML experience, strong Python/SQL, and a track record solving adversarial

Qualifications

  • 8+ years building and operating production ML systems in fraud, abuse, risk, or related domains.
  • Strong Python and SQL skills with experience in PyTorch or similar ML frameworks.
  • Experience taking ML solutions from feature engineering to production deployment and monitoring.
  • Solid software/data engineering capabilities across ML, backend, and data infra.
  • Experience using LLMs or AI agents for detection or abuse use cases.
  • Bachelor's or higher in CS/Stats/Math or related; advanced degree a plus.

Responsibilities

  • Build and deploy high-precision ML models for fraud and abuse detection, anomaly detection, and risk scoring.
  • Engineer risk signals from large-scale account, device, network, behavioral, velocity, and session data.
  • Integrate ML/AI features into real-time risk decisioning and automated enforcement systems.
  • Apply LLMs and AI agents to expand detection, investigation, and classification capabilities.
  • Translate emerging attack patterns and relevant research into new models, signals, and mitigations.
  • Evaluate solutions across accuracy, latency, cost, and customer impact.
  • Own model evaluation, monitoring, and drift as attacker behavior evolves.
  • Partner across engineering, product, and risk teams to ship production-ready capabilities.

Skills

Fraud detection
Anomaly detection
Production ML
Python
LLMs / AI agents
Risk scoring
Adversarial problem solving

Education

Bachelor's degree in CS/Stats/Math or related

Tools

Python
SQL
PyTorch

Job description

Adobe seeks a Senior AI/ML Engineer to build and broaden fraud and abuse detection systems. You will own signals, modeling, and production deployment, applying ML, LLMs, and AI agents to strengthen real-time risk decisions.

You will work across data, backend systems, and risk teams to deliver production-ready capabilities at scale in a hybrid California office, with 3 days in person. You will need 8+ years of production ML experience, strong Python/SQL, and a track record solving adversarial

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