Fraud/ML Engineer

Cox Exponential • San Francisco, CA

2d

About The Position

ML Engineer - Fraud Detection & Data Quality

Every day, millions of files hit our system.
Your job is to make sure only authentic, high-signal, human data gets through.

You’ll build:
• AI-generated image & video detection
• Reverse image search & internet plagiarism rejection
• Duplicate fingerprinting (vector + perceptual hashing)
• Copyright risk detection
• EXIF / metadata tampering detection
• Fraud network & device clustering systems
• Human-in-the-loop verification pipelines
This is adversarial ML at scale, not academic benchmarks.

Example:
A user is tasked with uploading a video of themselves taking out the trash. The
user uploads a video of their dog. The upload is rejected automatically. But
more complex. More requirements. At scale.

Requirements

• 3+ years in computer vision / machine learning (PyTorch or TensorFlow)
• Production ML deployment experience
• Strong SQL / PostgreSQL skills
• Experience with vector search (FAISS, pgvector, Pinecone)
• Image processing (OpenCV, PIL)
• Comfort shipping backend systems (TypeScript/Deno or similar)

Nice To Haves

• Deepfake detection
• Reverse image search systems
• Copyright detection pipelines
• Trust & Safety infrastructure

Responsibilities

• AI-generated image & video detection
• Reverse image search & internet plagiarism rejection
• Duplicate fingerprinting (vector + perceptual hashing)
• Copyright risk detection
• EXIF / metadata tampering detection
• Fraud network & device clustering systems
• Human-in-the-loop verification pipelines

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed