Software Engineer II, Machine Learning, Risk Engineering

Etsy

Machine Learning Engineer II in Risk Engineering at Etsy developing scalable ML models for risk and fraud detection. Collaborating with cross-functional teams to protect millions of users.

Posted 6/11/2026full-timeBrooklyn • New York • 🇺🇸 United StatesMid-LevelSenior💰 $153,000 - $199,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformSparkTerraform

About the role

Key responsibilities & impact

Prototype, optimize, and productionize large-scale ML models that help deliver key results
Conduct A/B experiments to validate the efficiency of ML models and pipelines
Collaborate closely with product managers, ML engineers, full-stack engineers, and designers on a product team to protect ~100 million users
Push the state of the art and apply the latest advances in deep learning and other machine learning techniques to improve trust and safety on Etsy
Share impactful and innovative work in the wider ML research community, including presenting at top-tier ML/DS conferences such as: KDD, WSDM, WWW, Recsys, etc.

Requirements

What you’ll need

Ph.D. degree in a quantitative field (e.g., computer science, industrial engineering, applied math, statistics) with machine learning research experience on risk/fraud applications, or a M.S. degree in related fields and 3+ years of industry experience in risk/fraud applications
published at peer-reviewed conferences, such as ICML, KDD, SIGIR, WSDM, etc. or given talks/tutorials in industrial conferences like Spark Summit
experience deploying, debugging, and improving machine learning models in large-scale production systems in public clouds (e.g., GCP, AWS, or Azure)
experience in Infrastructure as Code (e.g., Terraform)
experience or interest in building production risk/fraud detection systems, or general e-commerce systems

Benefits

Comp & perks

equity package
annual performance bonus
competitive benefits that support you and your family

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learningA/B testingrisk detection systemsfraud detection systemslarge-scale production systemsdata sciencestatistical analysismodel optimizationmodel deployment

Soft Skills

collaborationcommunicationpresentation skillsinnovationproblem-solvingteamworkresearch skillsanalytical thinkingadaptabilityleadership

Certifications

Ph.D. in quantitative fieldM.S. in related field