Senior Fraud AI/ML Engineer (Real-Time Risk)

Adobe; San Jose (CA); Hybrid; USD 183,000 - 265,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Adobe is seeking a Senior AI / Machine Learning Engineer to develop and broaden fraud and abuse detection systems. You will own end‑to‑end solutions from signals & modeling to production deployment and real‑time decisioning.

The role emphasizes hands‑on ML, data, and backend work, with opportunities to apply LLMs, AI agents, and modern ML techniques to strengthen detection and mitigation. Hybrid schedule required in the office at least 3 days per week.

Qualifications

• 8+ years building and operating production ML systems in fraud, abuse, risk, or adversarial domains.
• Solid ML background with practical experience in Python, SQL, and current ML frameworks like PyTorch.
• Experience guiding ML systems from feature engineering to production deployment and monitoring.
• Strong software/data engineering skills across ML, backend, and data infrastructure.
• Experience building with LLMs and AI agents for AI/generation-abuse use cases.
• Strong technical judgment, ownership, and ability to solve ambiguous, adversarial problems.
• Bachelor's or equivalent in CS, Statistics, Mathematics; 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

Production ML

Python

SQL

PyTorch

LLMs

AI agents

Adversarial risk

Education

Bachelor's degree or equivalent

Advanced degree a plus

Job description

Adobe is seeking a Senior AI / Machine Learning Engineer to develop and broaden fraud and abuse detection systems. You will own end‑to‑end solutions from signals & modeling to production deployment and real‑time decisioning.

The role emphasizes hands‑on ML, data, and backend work, with opportunities to apply LLMs, AI agents, and modern ML techniques to strengthen detection and mitigation. Hybrid schedule required in the office at least 3 days per week.