Key skills
Machine Learning TheoryStatistical EvaluationSupervised LearningUnsupervised LearningPythonSQLML LibrariesSparkFraud DetectionProduction-Grade ML EnvironmentMachine LearningML
About this role
Signifyd is a company that helps merchants confidently grow their businesses by building trusted relationships with their customers. The Senior Machine Learning Engineer will join the ML team to build, maintain, and monitor production ML models and offline experimentation frameworks, focusing on fraud detection and model performance improvement.
Responsibilities:
- Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability
- Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation
- Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs
- Raise the Bar – Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development
Requirements:
- A degree in Computer Science, Statistics, or a comparable quantitative field
- 4-6+ years of post-undergrad work experience in a production-grade ML environment
- Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale
- Proven track record of taking ML projects from research/prototype to high-scale production environments
- Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders
- Proficiency in Python, SQL, key ML libraries, and Spark
- A strong outcome-oriented mindset—you care about the 'why' behind the models and the business impact they create
- Attention to detail is critical in fraud prevention. To demonstrate this, please start your response to the first application question with the word 'Stochastic'
- Previous experience in fraud, fintech, payments, or e-commerce
- Passion for writing well-tested production-grade code
- A Master's Degree or PhD