kodex - ML Engineer - Verifications

• You’ll work across the full lifecycle — from problem framing and data exploration through deployment, monitoring, and iteration. Example areas include: • 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 • You Might Be a Fit If You… • Have 4+ years of experience building software ML systems in production • Experience in fraud, abuse, trust & safety, risk, or security analytics • Have experience with modern ML/DS workflows: experimentation, evaluation, and deploying models that other teams rely on • Are 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: you know when to start with a baseline and when to invest in stronger modeling/infra • Familiarity with LLMs / RAG / agentic workflows for internal tooling or decision support • Experience in compliance-sensitive environments (privacy, access controls, and audit trails) • Engineering at Kodex • We care deeply about the software we build — because our work protects real people. Kodex plays a critical role in helping major companies respond securely and transparently to sensitive data requests from law enforcement, enabling both privacy protection and public safety. Our engineering culture is built on trust, autonomy, and technical rigor. Our engineers: • Own projects end to end • Collaborate without ego • Invest in quality and velocity • Act as force-multipliers for one another • This is a place where the best idea wins, and your work has real impact, every day. • Core: TypeScript, Node.js, Postgres, AWS • Data: Databricks (and adjacent data tooling) • We also build AI capabilities across the platform (document processing, internal tooling, and automation) and collaborate across teams when it accelerates impact.