ML Engineer – Verifications

Kodex

ML Engineer designing and deploying models for Kodex, transforming data workflows for secure handling. Collaborating with teams to enhance verification accuracy and improve security systems.

Posted 6/4/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $180,000 per yearWebsite

About the role

Key responsibilities & impact

Build and deploy models to detect and flag suspicious behavior (classification, anomaly detection, clustering, ranking, and other approaches as appropriate)
Own ML pipelines end-to-end (feature generation, training, evaluation, batch/streaming inference, backfills, and versioning)
Design evaluation + monitoring: ground truth strategies with Threat Intel, offline metrics, drift monitoring, and alerting
Collaborate with product & engineering to integrate intelligence into user-facing workflows (e.g., review queues, and decision-support tooling)
Improve data quality and accessibility by working with data engineering patterns (schemas, lineage, reproducibility, and access controls)
Contribute to operational rigor: runbooks, incident response, and safe rollout practices for systems that impact customer trust

Requirements

What you’ll need

4+ years of experience building software ML systems in production
Experience in fraud, abuse, trust & safety, risk, or security analytics
Experience with modern ML/DS workflows: experimentation, evaluation, and deploying models that other teams rely on
Comfortable with data pipelines and messy real-world data (instrumentation gaps, bias, label noise, and changing definitions)
Think carefully about reliability and safety (rollbacks, guardrails, human-in-the-loop review, and audit-ability)
Communicate clearly across disciplines and can turn ambiguous investigative needs into well-scoped engineering work
Are pragmatic: know when to start with a baseline and when to invest in stronger modeling/infra

Benefits

Comp & perks

Remote-first within the U.S.
Biannual offsites in exciting locations. Past trips include Seattle, Miami, Nashville, and San Francisco
Competitive salary and meaningful equity
Unlimited PTO + 14 company holidays
12 weeks of fully paid parental leave, with a flexible return-to-work policy
Comprehensive medical, dental, and vision plans
401(k) retirement plan

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningclassificationanomaly detectionclusteringmodel evaluationfeature generationdata pipelinesdata qualitymonitoringrisk analytics

Soft Skills

collaborationcommunicationpragmatismreliabilitysafetyproblem-solvingcritical thinkingadaptabilityattention to detailincident response