
11 - 50 employees
Founded 2020
📋 Compliance
🔒 Cybersecurity
💳 Fintech
💰 Venture Round on 2022-10
Compliance • Cybersecurity • Fintech
Kodex is a centralized portal designed specifically for handling subpoenas and data requests, ensuring secure and streamlined processes for organizations. It is trusted by over 15,000 government agencies and leading companies in diverse sectors, including crypto, finance, and telecommunications. Kodex facilitates compliance, improves security, and eliminates the chaos of manual data request handling by automating workflows, providing a unified dashboard for monitoring request statuses, and ensuring that only legitimate requestors gain access to sensitive data.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $150k - $180k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
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11 - 50 employees
Founded 2020
📋 Compliance
🔒 Cybersecurity
💳 Fintech
💰 Venture Round on 2022-10
Compliance • Cybersecurity • Fintech
Kodex is a centralized portal designed specifically for handling subpoenas and data requests, ensuring secure and streamlined processes for organizations. It is trusted by over 15,000 government agencies and leading companies in diverse sectors, including crypto, finance, and telecommunications. Kodex facilitates compliance, improves security, and eliminates the chaos of manual data request handling by automating workflows, providing a unified dashboard for monitoring request statuses, and ensuring that only legitimate requestors gain access to sensitive data.
• 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
• 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
• 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
Apply Now🔥 26 minutes ago
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