Machine Learning Engineer, Fraud

Whatnot is the largest live shopping platform in North America and Europe, and is looking for a Machine Learning Engineer to design and deploy models to detect fraudulent behaviors. The role involves leading the end-to-end architecture of fraud detection systems, building intelligent user graphs, and developing scalable data pipelines.

Requirements

• Bachelor’s degree in Computer Science, a related field, or equivalent work experience.
• 2–6 years of experience in machine learning or software engineering, ideally in risk, fraud, or trust & safety domains.
• Strong proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, LightGBM).
• Solid backend development skills and experience deploying ML models to production (batch or real-time).
• Experience in data analysis and ETL (SQL, Spark, DBT) for data pipeline building.
• Familiarity with fraud detection techniques such as chargeback prediction, anomaly detection, or graph-based modeling.
• Experience with data orchestration frameworks (Dagster, Kubeflow) and feature store design.
• Ability to translate business risk into measurable ML solutions and collaborate across diverse

Benefits

• Generous Holiday and Time off Policy
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
• Home office setup allowance
• Monthly allowance for cell phone and internet
• Care benefits
• Monthly allowance for wellness
• Annual allowance towards Childcare
• Lifetime benefit for family planning, such as adoption or fertility expenses
• Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
• Monthly allowance to dogfood the app
• Parental Leave