Adobe
San Jose
+ 1 other location
The Adobe Risk Platform (ARP) is Adobe's centralized fraud prevention and risk-decisioning platform, protecting surfaces like Commerce, Stock, and Firefly with real-time decisions that minimize impact on the customer experience.
As a Senior Software Engineer focused on Data Science and Platform Engineering, you'll build the ML models that detect and mitigate risk, fraud, and abuse, and also work on building the low-latency platform that serves them at scale across Adobe's most sensitive, highest-volume surfaces.
WHAT YOU'LL DO
• Own the ML lifecycle end-to-end — data engineering, offline model development, and real-time inference — building the models that detect and stop fraud and abuse across our surfaces.
• Turn behavioral, device, and transaction signals into features that sharpen detection.
• Track precision, recall, false positives, and business impact, and experiment with new approaches (including LLMs and agentic AI) to catch more while reviewers do less.
• Own the platform that serves those models in production, from APIs and SDKs to feature stores and the integration points that make onboarding new surfaces turnkey. Keep it fast, reliable, and scalable as usage grows.
• Partner with fraud investigators, Trust & Safety, and platform teams to turn new fraud patterns into new defenses, fast.
WHAT YOU NEED TO SUCCEED
• Bachelor's or Master's in Computer Science, Statistics, ML, or related — or equivalent experience.
• Deep experience with ML techniques — supervised/unsupervised learning, anomaly detection, ensembles — applied to fraud or risk detection.
• 5+ years building production ML systems and scalable backend services.
• Comfortable owning a model's full lifecycle in production — monitoring, retraining, and tuning as fraud patterns shift.
• Fluent in Python and SQL; comfortable with ML frameworks (PyTorch, TensorFlow, scikit-learn) and a production language (Java, Go, or similar).
• Experience with big data tools like Spark or Databricks for training and serving at scale.
• Strong platform engineering skills: APIs, distributed services, and data pipelines built for scale and low latency.
• Curiosity to understand how abuse actually plays out in a workflow, not just how it looks in aggregate metrics — new patterns often show up in the field before they show up in the data.
• Works well across fraud, platform, and product teams.
• Preferred: real-time scoring systems, device fingerprinting, or using LLMs/agentic AI for fraud detection. Experience working on risk mitigation is a plus.
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.
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.
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 part of 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.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $139,000 - $257,550 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $177,900 - $257,550
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
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.