Signifyd
Senior Machine Learning Engineer I // II
$140K–$190K
Denver, CO +4 · Remote · Senior · Full-time · Posted Apr 13, 2026
- Location
- Denver, CO
Seattle, WA
Chicago, IL (Remote)
United States (Remote)
USA - Experience
- 4-6+ years of post-undergrad work experience in a production-grade ML environment.
- Education
- Degree in Computer Science, Statistics, or a comparable quantitative field.
About the job
Own the end-to-end development and production operation of machine-learning systems and experimentation infrastructure for fraud detection.
What you'll do
- Develop and integrate ML technologies and pipeline components to improve fraud detection and experimentation.
- Take ML projects from offline experimentation through production deployment, improving performance and scalability.
- Partner across Product, Engineering, and Risk, and promote best practices in testing, documentation, monitoring, and development.
What they ask for
- Degree in Computer Science, Statistics, or a comparable quantitative field.
- Strong foundation in machine-learning theory and statistical evaluation, with experience in supervised and unsupervised learning at scale.
- Track record of taking ML projects from research or prototype to high-scale production.
- Proficiency in Python, SQL, key ML libraries, and Spark.
Nice to have
- Experience in fraud, fintech, payments, or e-commerce.
- Passion for well-tested production-grade code; a Master’s Degree or PhD.
Pay
$160,000 - $190,000 annually — base salary (Tier 1); $150,000 - $180,000 annually — base salary (Tier 2); $140,000 - $170,000 annually — base salary (Tier 3)
Tools
Python, SQL, key ML libraries, Spark
AI focus
Build, evaluate, deploy, and monitor machine-learning models and experimentation infrastructure for fraud detection, including the core fraud model.
Model-written summary · the original posting is authoritative