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# Machine Learning Engineer, Radar

- **Company:** Stripe, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $212,000.0 - $318,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Pytorch, Apache Spark, Deep Learning, Stripe, Machine Learning Operations
- **Published:** August 15, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pb8w7bjzj9

## About the Role

* 6+ years of industry experience training, evaluating, and deploying ML models in a production environment
 * Proficiency in Python and common data and ML frameworks like SQL, Spark, and PyTorch
 * Strong knowledge of production ML systems; and data analysis, statistics, and experiment design fundamentals
 * Active interest in the latest ML developments, and how they can be leveraged to solve business problems, * Experience building and optimizing real-time, low-latency ML infrastructure at scale
 * Strong software engineering skills and ability to design ML solutions through entire product stack
 * Experience applying ML to fraud detection, risk modeling, or a closely related domain
 * Experience designing ML products used by millions of users

Hybrid work at Stripe

## Description

* Build, train, evaluate, and deploy ML models that detect fraud across Stripe's global payments network
 * Research emerging fraud patterns like token theft and develop ML solutions to address them
 * Apply advances in deep learning to improve model quality and detection rates at scale
 * Co-build new fraud and abuse products directly with top users, Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams., Stripe builds financial tools and economic infrastructure for the internet. It navigates global regulatory uncertainty and partners closely with internet leaders like Apple, Google, Alipay, Tencent, Facebook, Twitter to launch new capabilities.


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