Never worry about fraud again. Signifyd helps ecommerce businesses approve more orders, prevent fraud & abuse, and grow with confidence - 100% financially backed. Backed by a16z and Menlo.
About the role
As a Senior Machine Learning Engineer , you will be a driver of technical execution within the ML team. You won’t just build models—you’ll own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to deployment to production. You will be responsible for improving model performance, refining our experimentation processes, and ensuring our fraud detection systems are robust, scalable, and scientifically sound.
What they're looking for
- Education: A degree in Computer Science, Statistics, or a comparable quantitative field
- Experience: 4-6+ years of post-undergrad work experience in a production-grade ML environment
- Technical Depth: Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale
- Execution Focus: Proven track record of taking ML projects from research/prototype to high-scale production environments
- Communication: Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders
- Tech Stack: Proficiency in Python , SQL, key ML libraries, and Spark
More about this role
At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here !
The Senior Machine Learning Engineer will join our ML team. This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are at the core of Signifyd’s product. This includes the core fraud detection model that decides the majority of our traffic, alongside our model training and evaluation infrastructure. We work closely with Platform Engineering teams to...
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