Senior Software Engineer

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.

• 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.

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 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., 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.