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Staff Machine Learning Engineer, Radar

StripeN/A8525 Radar - Eng
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Salary
Not listed
Job type
Full-time
Experience
Senior · 10+ yrs
Posted
7 Oct 2026
Status
Open · checked 7d ago

About this role

This role suits an experienced machine learning professional with a background in large-scale production systems who wants to build fraud detection technology. The position is offered by Stripe as a full-time opportunity.

Role Overview

The Staff Machine Learning Engineer, Radar position at Stripe involves creating and maintaining deep learning models that secure a massive payment network against fraud. Engineers in this group handle the entire machine learning lifecycle, from initial research into new fraud methods to deploying models and interacting with major clients.

Key Responsibilities

Architect, construct, train, assess, release, and manage production machine learning models for fraud prevention
Build large-scale machine learning systems that process diverse and extensive data volumes
Test and refine models to meet core business targets regarding data accuracy and quality
Create pipelines and automation for offline and online model training and evaluation
Integrate machine learning models into production environments while guaranteeing scalability and dependability
Work alongside product, data science, and engineering colleagues to find opportunities where machine learning enhances merchant and consumer results
Monitor current artificial intelligence developments and turn innovative concepts into production solutions
Guide engineers and foster a strong machine learning engineering environment within the group

Requirements

Minimum of 10 years of professional experience creating and delivering production machine learning systems
Proficiency with machine learning libraries and frameworks including PyTorch, TensorFlow, XGBoost, and Spark
Practical background in designing, training, and assessing machine learning models
Practical background in scaling, productionizing, and deploying models
Practical background in organizing data pipelines and utilizing large datasets
Strong collaborative abilities to work across teams and support colleagues
Capability to function independently with high accountability and an entrepreneurial outlook

Nice to Have

Master of Science or Doctor of Philosophy degree in machine learning, artificial intelligence, mathematics, physics, statistics, computer science, or a related discipline
Background in financial technology, open banking, or financial data sectors
Background in natural language processing, large language models, or text classification at scale
Background in adversarial or noisy data sectors such as fraud detection, risk modeling, or data quality
Demonstrated history of creating machine learning systems that resolve ambiguous business challenges
Background in deep learning architectures, including transformers

Skills and Tools

PyTorch
TensorFlow
XGBoost
Spark
Deep learning architectures and transformers
Natural language processing and large language models

About the Company

Stripe operates a payment network that processes vast sums of money and serves tens of thousands of businesses globally. The Radar product suite helps these businesses screen payments and manage fraud through real-time defensive technologies.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

PyTorchTensorFlowXGBoostSparkTransformersLLMsNLPDeep LearningMachine Learning

Questions candidates ask

What does the Radar ML team do at Stripe?

The Radar ML team builds real-time deep learning models that protect Stripe's payment network from fraud and powers the Radar product suite used by businesses to screen payments.

How many years of experience are required for this role?

Candidates must have 10+ years of industry experience building and shipping machine learning systems in production.

What technical frameworks and libraries are needed?

The role requires proficiency with machine learning libraries and frameworks such as PyTorch, TensorFlow, XGBoost, and Spark.

Are there preferred educational qualifications for this position?

Preferred qualifications include an MS or PhD degree in machine learning, artificial intelligence, or a related field like math, physics, statistics, or computer science.

How can I apply for this position?

Applicants should apply on the official company careers page.

Ready to apply?

The application is on the official Stripe careers page.

Apply on company site