# Staff Machine Learning Engineer, Radar

**Company**: Stripe
**Location**: N/A
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/stripe/jobs/8243615?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_936015c6-973

## Description

The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud.

In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers.

## Responsibilities

- Design, build, train, evaluate, deploy, and own ML models in production that detect fraud across Stripe’s global payments network

- Design and build large-scale ML systems that operate on diverse and large scale data

- Experiment and iterate on ML models to achieve key business goals around data quality and accuracy

- Develop pipelines and automated processes to train and evaluate models in offline and online environments

- Integrate ML models into production systems and ensure their scalability and reliability

- Collaborate with product, data science, and engineering partners across Stripe to identify opportunities where ML can improve outcomes for merchants and consumers

- Engage with the latest ML/AI developments and take calculated risks in transforming innovative ideas into productionized solutions

- Mentor engineers and contribute to a strong ML engineering culture within the team

## Requirements

- 10+ years of industry experience building and shipping ML systems in production

- Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark

- Hands-on experience in designing, training, and evaluating machine learning models

- Hands-on experience in productionizing and deploying models at scale

- Hands-on experience in orchestrating data pipelines and efficiently leveraging large-scale datasets

- Strong collaboration skills and the ability to work across teams and contribute to peers' success

- Ability to thrive with a high level of autonomy and responsibility and an entrepreneurial mindset

## Skills

### Required
- PyTorch
- TensorFlow
- XGBoost
- Spark
- machine learning
- deep learning

### Nice to have
- MS or PhD degree in ML/AI or a related field
- Experience in fintech, open banking, or financial data domains
- Experience with NLP, LLMs, or text classification at scale
- Experience in adversarial or noisy-data domains such as fraud detection, risk modeling, or data quality
- Proven track record of building and deploying ML systems that have effectively solved ambiguous business problems
- Experience with deep learning architectures, including transformers

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/stripe/jobs/8243615?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)