ML Engineer — Threat Intel & Security Analytics (Remote)

Kodex, Inc.; United States; On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Unlimited PTO

Biannual offsites

Comprehensive medical, dental, and vision plans

401(k) retirement plan

Job summary

Kodex, Inc. is looking for an ML Engineer to join their Verifications / Threat Intel team. This role involves building models to enhance security and detect suspicious activities, working collaboratively with various teams.

The ideal candidate has 4+ years of experience in software ML systems, particularly in fraud analytics, and will have the opportunity to work remotely within the U.S. Kodex emphasizes a culture of trust and technical rigor.

Qualifications

• 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.
• Comfortable with data pipelines and messy real-world data.
• Think carefully about reliability and safety.
• Communicate clearly across disciplines.

Responsibilities

• Work across the full lifecycle from problem framing to deployment.
• Build and deploy models to detect suspicious behavior.
• Own ML pipelines end-to-end.
• Design evaluation and monitoring strategies.
• Collaborate to integrate intelligence into user workflows.
• Improve data quality and accessibility.

Skills

Building software ML systems

Experience in fraud, abuse, trust & safety

Data pipelines and messy real-world data

Reliability and safety

Clear communication across disciplines

Tools

TypeScript

Node.js

AWS

Job description

Kodex, Inc. is looking for an ML Engineer to join their Verifications / Threat Intel team. This role involves building models to enhance security and detect suspicious activities, working collaboratively with various teams.

The ideal candidate has 4+ years of experience in software ML systems, particularly in fraud analytics, and will have the opportunity to work remotely within the U.S. Kodex emphasizes a culture of trust and technical rigor.