Lead Detection Scientist: Fraud & Bot Detection at Scale

Cloudflare; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Health & Welfare Benefits

Time Off

Equity / Stock Plan

401(k) Retirement Savings Plan

Flexible paid time off

Job summary

Cloudflare’s Detection team builds and scales AI-driven systems to identify automated, fraudulent, and malicious activity across vast Internet-scale data. The role sits at the heart of Cloudflare’s engineering effort, collaborating with ML Engineers, Data Engineers, and Product to protect customers.

You’ll lead research, design, and evaluation of detection models, mentor peers, and drive adoption of advanced AI/ML techniques while shaping long-term strategy across multiple product areas.

Qualifications

• 8–10 years of professional experience in DS/ML/Software Eng.
• Strong statistics and ML methodology fundamentals.
• Proficiency with Python and SQL in production.

Responsibilities

• Lead the research, design, and evaluate detection models that identify automated, fraudulent, and malicious activity across Internet-scale data.
• Mentor others in how to uncover patterns and behaviors that distinguish adversaries from legitimate users.
• Own the detection measurement framework, defining metrics and evaluation strategies for problems where ground truth is noisy, delayed, or contested.
• Drive adoption of promising AI/ML techniques and represent Cloudflare in the broader research community.
• Drive cross-functional partnerships with ML Engineers, Data Engineers, and Product; Influence roadmaps and align detection strategy with company priorities.
• Shape long-term detection strategy, identifying gaps and opportunities that span multiple product areas.

Skills

Fraud and bots at scale

Python

SQL

Statistics & ML fundamentals

Ambiguity handling

Engineering best practices

Stakeholder communication

Tools

Production ML pipelines

Job description

Cloudflare’s Detection team builds and scales AI-driven systems to identify automated, fraudulent, and malicious activity across vast Internet-scale data. The role sits at the heart of Cloudflare’s engineering effort, collaborating with ML Engineers, Data Engineers, and Product to protect customers.

You’ll lead research, design, and evaluation of detection models, mentor peers, and drive adoption of advanced AI/ML techniques while shaping long-term strategy across multiple product areas.