Signifyd is seeking a Senior Machine Learning Engineer to join their ML team, focusing on building and maintaining production ML models for fraud detection. The role involves owning the end-to-end ML lifecycle, from offline experimentation to deployment. Collaborate with cross-functional teams to enhance fraud prevention systems.
Responsibilities
Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure
Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components
Collaborate Across Functions – Partner with Product, Engineering, and Risk teams
Raise the Bar – Foster a culture of technical excellence
Requirements
Degree in Computer Science, Statistics, or comparable quantitative field
4-6+ years of post-undergrad work experience in production-grade ML environment
Strong foundation in ML theory and statistical evaluation
Proven track record of taking ML projects to production
Proficiency in Python, SQL, key ML libraries, and Spark
Nice to Have
Previous experience in fraud, fintech, payments, or e-commerce
Passion for writing well-tested production-grade code
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