Senior ML Scientist: Fraud Detection at Scale

Webhosting; New York (NY); On-site; USD 185,000 - 231,000; Full time

Benefits offered by this job

Equity plan

Health benefits

Time off

Job summary

Cloudflare is seeking an experienced data science/ML engineer to join the Detection team in New York. You will build and scale models to identify fraudulent and automated activity across high-velocity traffic, analyzing large datasets and shaping evaluation metrics in challenging ground-truth conditions.

Collaboration with product and engineering is essential for production deployment. The role emphasizes pragmatic, scalable solutions, strong coding discipline, and clear communication of

Qualifications

• Fraud and bots at scale: experience across detection domains.
• Strong fundamentals in statistics, machine learning, and AI.
• 5–7 years in Data Science, ML Engineering, or Software Engineering.
• Proficient with Python and SQL in production environments.
• Comfortable working with weak, delayed, or absent ground truth labels.

Responsibilities

• Research, design, and evaluate detection models for automated and malicious activity.
• Analyze massive datasets to identify adversarial patterns.
• Define evaluation metrics and strategies when ground truth is noisy.
• Stay current with AI/ML research and apply new techniques where useful.
• Collaborate with ML Engineers, Data Engineers, and Product to deploy concepts.

Skills

Fraud detection

ML fundamentals

Python

SQL

Data science

Ambiguity handling

Production engineering

Communication

Job description

Cloudflare is seeking an experienced data science/ML engineer to join the Detection team in New York. You will build and scale models to identify fraudulent and automated activity across high-velocity traffic, analyzing large datasets and shaping evaluation metrics in challenging ground-truth conditions.

Collaboration with product and engineering is essential for production deployment. The role emphasizes pragmatic, scalable solutions, strong coding discipline, and clear communication of