Senior Software Engineer

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About the role

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. About Adobe 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. Adobe is proud to be an Equal Employm

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