18 days ago
Base Salary
$152k - $265k/yr
Responsibilities
- Build and deploy high-precision ML models for fraud, abuse, anomaly detection, and risk scoring.
- Engineer risk signals from account, device, network, behavioral, velocity, and session data.
- Integrate ML and AI features into real-time risk decisioning and automated enforcement systems.
- Apply LLMs and AI agents to detection, investigation, and classification capabilities.
- Translate emerging attack patterns and research into models, signals, and mitigations.
- Evaluate solutions for accuracy, latency, cost, and customer impact.
- Own model evaluation, monitoring, and drift management as attacker behavior evolves.
- Partner with engineering, product, and risk teams to deliver production-ready capabilities.
Requirements
- 8+ years of experience building and operating production ML systems, ideally in fraud, abuse, risk, identity, trust and safety, or other adversarial domains.
- Practical ML experience with Python, SQL, and current ML frameworks such as PyTorch.
- Experience taking ML systems from feature engineering through production deployment and monitoring.
- Strong software and data engineering skills across ML, backend, and data infrastructure.
- Experience building with LLMs and/or AI agents, particularly for AI or generation-abuse use cases.
- A bachelor's degree or equivalent experience in Computer Science, Statistics, Mathematics, or a related field.
- Preferred experience includes device fingerprinting, identity verification, behavioral signals, network intelligence, VPN or proxy detection, real-time risk evaluation, automated control systems, human-in-the-loop evaluation, AI-assisted evaluation, distributed systems, and high-scale data pipelines.
- Strong technical judgment, ownership, and ability to solve ambiguous adversarial problems.
Benefits
- Hybrid work model requiring a minimum of three days per week in the office.
- Eligible roles may receive long-term incentives through a new-hire equity award.
- Non-sales roles may participate in Adobe's Annual Incentive Plan.
Categories
About Adobe
Adobe builds software for creative work, document workflows, and customer experience used by individuals, teams, and enterprises. Its products include Creative Cloud (Photoshop, Illustrator, Premiere Pro), Acrobat/Document Cloud, and Experience Cloud for marketing and analytics, sold primarily via subscriptions. Founded in 1982 and headquartered in San Jose, California, Adobe is a public company traded on NASDAQ under the ticker ADBE.