This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

Your job is to make sure only authentic, high-signal, human data gets through.

• Build AI-generated image & video detection
• Implement reverse image search & internet plagiarism rejection
• Develop duplicate fingerprinting (vector + perceptual hashing)
• Establish copyright risk detection
• Create EXIF / metadata tampering detection
• Design fraud network & device clustering systems
• Build human-in-the-loop verification pipelines

This is adversarial ML at scale, not academic benchmarks.

Qualifications

• 3+ years in computer vision / ML (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)

Requirements

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

Benefits

• Base salary: $150,000 – $250,000
• $150,000 – $350,000 equity
• Relocation support
• SF HQ (SOMA) or remote

Growth Opportunity

You’ll join a team operating at the frontier of applied AI data infrastructure. In this role, you’ll have the opportunity to:

• Own core systems that power one of the largest human data networks in the world
• Design infrastructure that directly influences what data trains next-generation AI models
• Build at real scale - millions of uploads per day, adversarial environments, global contributors
• Ship alongside a team that has built marketplaces, AI systems, and products used by millions

If you’re excited to move fast, build systems that matter, and help define how human data powers frontier AI, let’s talk.