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backend machine learning llm risk-detection📋 Description
- Design and build backend systems for ad safety, trust, and compliance.
- Develop KYC processes to verify advertiser identity and assess risk.
- Build systems to evaluate ad content and landing pages for safety.
- Determine ad placements to be contextual and trusted.
- Collaborate with Core Ads, Integrity, and Personalization to balance growth with safety.
- Contribute to ML/LLM systems for automated decision-making and risk detection.
🎯 Requirements
- Have at least 6 years of professional software engineering experience.
- Have experience setting up and maintaining production backend services and data pipelines.
- Comfortable operating as a generalist across distributed systems, data pipelines, and applied ML integrations.
- Own problems end-to-end and learn what you're missing to get the job done.
- Care about AI Safety in production environments and defend against abuse.
- Experienced in trust, safety, integrity, fraud, abuse prevention, or risk-sensitive domains (ads experience is a strong plus).
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