Senior AI / Machine Learning Engineer — Fraud Detection

Adobe Systems
San Jose, Austin, Seattle, New York, Chicago
Workplace: HybridFull timeUSD 151,800 - 265,350 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Ownership","Technical judgment","Problem-solving","Collaboration"]

Develop and expand fraud and abuse detection systems using high-precision ML models for anomaly detection and risk scoring. Build risk signals from large-scale account, device, network, behavioral, velocity, and session data, and integrate ML/AI features into real-time decisioning and enforcement. Apply LLMs and AI agents to improve detection, investigation, and classification, owning solutions end to end from signals and modeling through production deployment, monitoring, and drift evaluation.

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FursaFursa
Adobe Systems
Adobe Systems
6 days ago

Senior AI / Machine Learning Engineer — Fraud Detection

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Develop and expand fraud and abuse detection systems using high-precision ML models for anomaly detection and risk scoring. Build risk signals from large-scale account, device, network, behavioral, velocity, and session data, and integrate ML/AI features into real-time decisioning and enforcement. Apply LLMs and AI agents to improve detection, investigation, and classification, owning solutions end to end from signals and modeling through production deployment, monitoring, and drift evaluation.
Location: San Jose, Austin, Seattle, New York, Chicago
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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.
  • •Own model evaluation, monitoring, and drift as attacker behavior evolves and partner to ship production-ready capabilities.

Pay and Benefits

Salary: USD 151,800 - 265,350 annually
Equity and Bonus:Equity

Key Requirements

  • •8+ years building and operating production ML systems, ideally in fraud, abuse, risk, identity, trust & safety, or related adversarial domains.
  • •Practical ML experience using Python, SQL, and modern ML frameworks like PyTorch.
  • •Experience guiding ML systems from feature engineering through production deployment and ongoing monitoring.
  • •Strong software and data engineering skills spanning ML, backend systems, and data infrastructure.
  • •Hands-on experience building with LLMs and/or AI agents for AI/generation-abuse use cases.
Experience:8+ yearsFraudAbuseRiskIdentityTrust & safetyAdversarial domains
Education:Bachelor's in Computer Science, Statistics, Mathematics, or related field
Skills:OwnershipTechnical judgmentProblem-solvingCollaboration
Tech Stack:PythonSQLPyTorchLLMsAI agentsAnomaly detectionReal-time decisioning

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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