Staff ML Engineer – Real-Time Fraud & Scale

Stripe; United States; Remote; USD 250,000 - 420,000; Full time

Job summary

Stripe Radar ML team builds fraud-detection models protecting Stripe's payment network. You will own ML work end-to-end, from researching fraud patterns to deploying models that run at scale.

You will design and ship large-scale ML systems, collaborate with product, data science, and engineering teams, and mentor others while advancing defenses against emerging threats like AI token theft and abuse.

Qualifications

• 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.

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

Skills

Autonomy

Collaboration

Education

MS or PhD in ML/AI or related field

Tools

PyTorch

TensorFlow

XGBoost

Spark

Job description

Stripe Radar ML team builds fraud-detection models protecting Stripe's payment network. You will own ML work end-to-end, from researching fraud patterns to deploying models that run at scale.

You will design and ship large-scale ML systems, collaborate with product, data science, and engineering teams, and mentor others while advancing defenses against emerging threats like AI token theft and abuse.