Senior AI/ML Engineer: Real-Time Fraud Detection

Adobe; Washington (District of Columbia); Hybrid; USD 152,000 - 265,000; Full time

Job summary

Adobe seeks a Senior AI / Machine Learning Engineer to develop and broaden fraud and abuse detection systems. You will own end-to-end solutions from signals and modeling to real‑time decisioning, including applying LLMs and AI agents to expand detection, investigation, and classification capabilities.

The role emphasizes hands-on ML, data, and backend work with a hybrid schedule (minimum 3 days in the office) at Adobe’s offices in the United States.

Qualifications

• 8+ years building and operating production ML systems in fraud or risk domains.
• Strong Python and SQL skills with PyTorch experience.
• Experience taking ML systems from feature engineering to production deployment and monitoring.

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 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 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

Python

SQL

ML systems

Adversarial domain experience

Education

Bachelor's degree in Computer Science/Statistics/Mathematics

Tools

PyTorch

Job description

Adobe seeks a Senior AI / Machine Learning Engineer to develop and broaden fraud and abuse detection systems. You will own end-to-end solutions from signals and modeling to real‑time decisioning, including applying LLMs and AI agents to expand detection, investigation, and classification capabilities.

The role emphasizes hands-on ML, data, and backend work with a hybrid schedule (minimum 3 days in the office) at Adobe’s offices in the United States.