Machine Learning Engineer (Fraud)

TL;DR

Machine Learning Engineer (Fraud): Designing and deploying traditional ML and LLM-powered models to detect fraudulent behaviors across users, payments, and marketplace interactions with an accent on end-to-end architecture for fraud detection and prevention. Focus on building intelligent user graphs, developing scalable data pipelines, and conducting adversarial data analysis to improve detection accuracy.

Location: Must live within commuting distance of the SF, NYC, LA or SEA hubs

Salary: $245,000 – $345,000 per year + Equity

Company

hirify.global is the largest livestream shopping platform in North America and Europe, enabling users to buy, sell, and discover items across hundreds of categories.

What you will do

• Design, train, and deploy ML and LLM models to detect fraudulent behaviors across users and payments.
• Lead the end-to-end architecture of fraud detection, prevention, and intervention systems.
• Build intelligent user graphs to model behavioral patterns, collusion networks, and account connectivity.
• Develop scalable data pipelines and real-time inference systems for high-volume ML workloads.
• Conduct deep behavioral and adversarial data analysis to uncover fraud trends.
• Partner with Trust & Safety, Payments, and Infrastructure teams to develop features and evaluation 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.
• Strong proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, LightGBM).
• Solid backend development skills and experience deploying ML models to production.
• Experience in data analysis and ETL using SQL, Spark, and DBT.
• Must reside within commuting distance of SF, NYC, LA or SEA hubs.

Nice to have

• Familiarity with chargeback prediction, anomaly detection, or graph-based modeling.
• Experience with data orchestration frameworks (Dagster, Kubeflow) and feature store design.

Culture & Benefits

• Comprehensive health insurance options including Medical, Dental, and Vision.
• 401k offering for Traditional and Roth accounts with employer match up to 4% (US).
• Home office setup allowance and monthly allowance for cell phone and internet.
• Paid parental leave (16 weeks) and lifetime benefits for family planning.
• Monthly allowance to "dogfood" the app as both a buyer and seller.
• Generous holiday and time-off policy.