Senior AI/ML Engineer - Fraud Detection & Real-Time Risk

Latitude; Chicago (IL); Hybrid; USD 156,000 - 226,000; Full time

Benefits offered by this job

Hybrid work model (3 days in office)

Job summary

Adobe is seeking a Senior AI/ML Engineer to develop and scale fraud detection systems in production environments. You will build high-precision models, engineer risk signals from diverse data sources, and deploy real-time decisioning integrated with enforcement systems.

The role emphasizes applying LLMs and AI agents to expand detection capabilities, while partnering with engineering, product, and risk teams to ship production-ready capabilities. Hybrid schedule in Illinois is offered.

Qualifications

• 8+ years building and operating production ML systems in fraud, abuse, risk, or related adversarial domains.
• Strong Python and SQL skills with practical ML framework experience (PyTorch).
• Experience guiding ML pipelines from feature engineering to production deployment and monitoring.
• Strong software/data engineering skills across ML, backend, and data infra.

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 attacker 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

Production ML

Python

SQL

PyTorch

ML deployment

LLMs/AI agents

Adversarial risk

Education

Bachelor's degree

Job description

Adobe is seeking a Senior AI/ML Engineer to develop and scale fraud detection systems in production environments. You will build high-precision models, engineer risk signals from diverse data sources, and deploy real-time decisioning integrated with enforcement systems.

The role emphasizes applying LLMs and AI agents to expand detection capabilities, while partnering with engineering, product, and risk teams to ship production-ready capabilities. Hybrid schedule in Illinois is offered.