Kodex

1 month ago

ML Engineer - Verifications

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Join Kodex’s Verifications / Threat Intel org as an ML Engineer building the intelligence layer to detect suspicious activity, improve verification accuracy, and turn messy real-world signals into scalable, auditable systems. Work across product, data, and security to deploy production-grade models, end-to-end ML pipelines, and decision-support tooling that are measurable, explainable, and safe to operate.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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).

Pay and Benefits

Salary: USD 150,000 - 180,000 annually

Equity and Bonus:Equity

Perks:Remote WorkEquityPaid LeaveParental LeaveMedical Plan401k

Key Requirements

•Have 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).

Experience:4+ yearsSecurity analyticsMachine learningRiskFraudTrust & safety

Skills:CommunicationProblem-solvingTeam collaboration

Tech Stack:TypeScriptNode.jsPostgresAWSDatabricksMLMachine learningClassificationAnomaly detectionData pipelines

Company Brief

Kodex

Provides a secure, end-to-end platform that streamlines verification, encrypted workflows, and tracking of law‑enforcement and government data requests for enterprise Legal/Trust & Safety teams. Trusted by major crypto and telecom customers and backed by VC investors.

Industry: LegalTech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Boston, United States

Founded: 2021

Glassdoor: 3.7

Website LinkedIn Glassdoor

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Kodex

1 month ago

ML Engineer - Verifications

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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).

Pay and Benefits

Salary: USD 150,000 - 180,000 annually

Equity and Bonus:Equity

Perks:Remote WorkEquityPaid LeaveParental LeaveMedical Plan401k

Key Requirements

•Have 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).

Experience:4+ yearsSecurity analyticsMachine learningRiskFraudTrust & safety

Skills:CommunicationProblem-solvingTeam collaboration

Tech Stack:TypeScriptNode.jsPostgresAWSDatabricksMLMachine learningClassificationAnomaly detectionData pipelines

Company Brief

Kodex

Industry: LegalTech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Boston, United States

Founded: 2021

Glassdoor: 3.7

Website LinkedIn Glassdoor