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About the Role
We are seeking an experienced Senior AI/ML Engineer to develop and enhance fraud and abuse detection systems. This role involves improving ML techniques for anomaly detection, user/device risk analysis, identity and service abuse, and evolving AI abuse scenarios. It's a hands-on position covering ML, data, and backend systems, with opportunities to apply LLMs, AI agents, and modern ML techniques. You will own solutions end-to-end, from signals and modeling through production deployment and real-time decisioning, contributing to best-in-class fraud detection systems.
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.
Requirements
- 8+ years building and operating production ML systems, ideally in fraud, abuse, risk, identity, trust & safety, or other 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/or AI agents, particularly for AI/generation-abuse use cases.
- Strong technical judgment, ownership, and ability to solve ambiguous, adversarial problems.
Skills
- Python
- SQL
- PyTorch
- LLMs
- AI agents
- Device fingerprinting
- Identity verification
- Behavioral signals
- Network intelligence
- VPN/proxy detection
- Real-time risk evaluation
- Automated control systems
- Human-in-the-loop evaluation systems
- AI-assisted evaluation systems
- Distributed systems
- High-scale data pipelines
- Adversarial approach
Location
- Remote
- Hybrid
Work Type
- Hybrid
Experience Level
- Senior
Education Level
- Bachelor's degree or equivalent experience in Computer Science, Statistics, Mathematics, or related field; advanced degree a plus.
Salary/Compensations
- $151,800 -- $265,350 annually
- $183,300 - $265,350 (California)
- $183,300 - $265,350 (New York)
- $156,300 - $226,350 (Illinois)
- $165,600 - $239,725 (Washington)
Benefits
- Comprehensive benefits programs
About the Company
- Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
- Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
- Let’s Adobe together
- At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Equal Opportunity
- Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
- Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com.
- AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
- At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
- State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.