**
Signifyd is seeking a Senior Machine Learning Engineer to enhance their fraud detection capabilities through advanced machine learning technologies. The ideal candidate should possess strong experience in machine learning, statistical evaluation, and technical execution in a production-grade environment, with a focus on collaboration across functions.
**
Job Summary
As a Senior Machine Learning Engineer, you will be a driver of technical execution within the ML team, owning the end-to-end lifecycle of high-impact ML projects.
Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
Your work will directly shape the future of fraud prevention, protecting billions of payments and driving high-visibility initiatives.
Matching Summary
Match Score: 75
**
Signifyd is seeking a Senior Machine Learning Engineer to enhance their fraud detection capabilities through advanced machine learning technologies. The ideal candidate should possess strong experience in machine learning, statistical evaluation, and technical execution in a production-grade environment, with a focus on collaboration across functions.
**
Salary
Base: $140,000 - $190,000 annually; Bonus/Equity: Eligible for annual performance bonus up to 10% of base salary and 4,000 stock options; Benefits: Health, Dental, Vision, 401K Match, Unlimited PTO, Paid Parental Leave, etc.
Skills & Requirements
Must-have
production ML environment
machine learning theory
statistical evaluation
supervised/unsupervised learning
Python
SQL
Spark
ML libraries
Nice-to-have
fraud detection experience
fintech experience
payments experience
e-commerce experience
writing well-tested code
adversarial machine learning
Key Requirements
4-6+ years of experience
Degree in Computer Science, Statistics, or quantitative field