Real-Time ML Fraud Intelligence Engineer (Austin)

King River Capital Group; Austin (TX); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Free Lunch - personalized your way

100% Insurance Coverage

Unlimited Vacation

Up to 20 days Remote Annually

Beautiful Office

Job summary

A tech startup focused on AI solutions is seeking an experienced engineer to develop real-time fraud detection systems. The ideal candidate will have over 4 years of experience in machine learning and handling high-volume data. You'll work in a collaborative environment in Austin, TX, using technologies like Python, Go, and GKE. This role offers a salary of $200K - $250K plus equity and a comprehensive benefits package including unlimited vacation and a $10K relocation bonus.

Qualifications

• 4+ years as an engineer, data scientist, or ML engineer.
• Experience in end-to-end ML modeling.
• Background in high-volume data production environments.

Responsibilities

• Build and deploy real-time signal collection and modeling architecture.
• Develop infrastructure for large scale pipelines.
• Create ML models adapting to shifting attack vectors.

Skills

Experience in ML modeling

Handling high-volume data

Curiosity & Creativity

First-Principles Thinking

Tools

Go

Python

Typescript

GKE

GCP

Job description

A tech startup focused on AI solutions is seeking an experienced engineer to develop real-time fraud detection systems. The ideal candidate will have over 4 years of experience in machine learning and handling high-volume data. You'll work in a collaborative environment in Austin, TX, using technologies like Python, Go, and GKE. This role offers a salary of $200K - $250K plus equity and a comprehensive benefits package including unlimited vacation and a $10K relocation bonus.