Staff Engineer, Fraud & Abuse

Job not on LinkedIn

🔥 3 minutes ago

🦬 Wyoming – Remote

infoinfo

💵 $250k - $300k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

Where this job comes from

Posted on Venice.ai's careers page, not through a job board

First seen by Remote Rocketship 3 minutes ago

Logo of Venice.ai

Venice.ai

51 - 200 employees

Founded 2024

🤖 Artificial Intelligence

☁️ SaaS

🔌 API

🔥 Funding within the last year

💰 $65M Series A on 2026-06

Artificial Intelligence • SaaS • API

Venice. ai is a privacy-focused AI platform that provides access to leading third-party and open-source models for generating text, images, video, audio, code, embeddings, and agents. The company emphasizes user privacy through anonymized access, zero data retention for self-hosted models, Trusted Execution Environments (TEEs), and client-side end-to-end encryption. Venice offers a unified API compatible with OpenAI and agent stacks, developer tools (SDKs, LangChain, OpenAI SDK compatibility), and products for creators and enterprises with tiered pricing plans. Its features include multimodal generation, image and video creation/editing/upscaling, text-to-speech and music generation, and support for uncensored models.

📋 Description

• Build the fraud function from scratch with ownership of systems, tooling, and strategy • Create detection models, anomaly monitoring, and evolving automations • Shape payment flow controls • Address chargeback and refund abuse • Develop systems that protect the platform while preserving user privacy • Own financial fraud detection for stolen cards, fake payments, and chargeback abuse • Collaborate closely with the payments team • Design and implement rules engines, ML models, anomaly detection, and behavioral signals • Investigate incidents and ship fixes • Combat automated abuse and account takeovers, including fake signups, rate-limit evasion, and API key abuse

🎯 Requirements

• 10+ years of experience focused on fraud or trust-and-safety work • Hands-on fraud and abuse detection skills, including finding signals, using analytics and ML, and building risk/decisioning systems • An adversarial, red-team mindset: thinking like the attacker, not the vendor, and actively probing systems for holes

🏖️ Benefits

• Meaningful equity • Token upside • Fully remote work • Freedom to choose tooling • Greenfield detection systems

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