Requirements

• 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

Nice to Haves

• Fraud and bots at scale: You have experience across fraud, abuse, and/or bot detection on large, high-velocity traffic. You may focus on one, but you transfer instincts between them
• Strong fundamentals, fluent in data: You have solid applied statistics, machine learning, and AI methodology fundamentals. You choose the right technique for the problem, and are fluent with large-scale data
• You have at least 8-10 years of experience professionally working in Data Science, ML Engineering, or Software Engineering
• Demonstrated ability to make ambiguous, high-stakes technical decisions with incomplete information
• You are very comfortable with Python & SQL in production environments

What You'll Be Doing

• 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

Perks and Benefits

• Compensation may be adjusted depending on work location: Estimated annual salary of $215,000 - $270,000 for New York City based hires
• Equity participation in Cloudflare's equity plan
• Health & Welfare Benefits including Medical/Rx Insurance, Dental Insurance, Vision Insurance, Flexible Spending Accounts, and more
• Financial Benefits such as Short and Long Term Disability Insurance, Life & Accident Insurance, 401(k) Retirement Savings Plan, and more
• Time Off benefits including Flexible paid time off covering vacation and sick leave, and various leave programs